system

Abstract

Provide a system. An input means for inputting biometric information of a user; a generating means for generating beauty treatments and beauty products based on the biometric information; a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means; A system including:

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] It is extremely important for beauty salons to provide optimal beauty treatments and products based on each customer's skin condition and constitution. However, conventional methods often provide uniform services, making it difficult to address the unique needs of each customer. Furthermore, there has been no system that can accurately collect and analyze a customer's biometric information and quickly make recommendations based on the results. The purpose of this invention is to solve these problems and realize a system that provides more personalized beauty services. [Means for solving the problem]

[0005] The present invention provides a system including an input device for inputting a user's biometric information, a generation device for generating beauty treatments and beauty products based on the biometric information, and a display device for displaying the beauty treatment and beauty product recommendations generated by the generation device. Specifically, the input device transmits the user's biometric information to a server, and the generation device includes a generation algorithm for identifying recommended vegetable ingredients based on the user's skin condition and constitution, thereby enabling the provision of optimal beauty services to individual customers. Furthermore, by utilizing this system, beauty treatments and products tailored to customer needs can be quickly and accurately recommended.

[0006] The "input means" is a device or function for inputting biometric information of a user.

[0007] The "generation means" is a device or function that generates beauty treatments and beauty products based on the biometric information acquired by the input means.

[0008] The "display means" is a device or function for displaying the beauty treatment or beauty product recommendation results generated by the generation means.

[0009] "Biometric information" is data relating to the user's skin condition and constitution.

[0010] The "server" is a computer system that receives biometric information sent from an input means and functions as a generation means.

[0011] A "generative algorithm" is a calculation procedure or program that analyzes biometric information and recommends optimal beauty treatments and vegetable ingredients to a user.

[0012] "Beauty treatment" is a general term for procedures and products aimed at caring for and improving the user's skin and constitution.

[0013] "Beauty products" are cosmetics and care products used as part of beauty treatments.

[0014] "Vegetable ingredients" are ingredients extracted from vegetables and used as ingredients in beauty treatments and beauty products. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information. This system is equipped with an input means, a generation means, and a display means, and these means work together to provide personalized beauty suggestions to customers.

[0037] Overall system operation

[0038] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. Specifically, they answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. This allows the necessary biometric information to be collected.

[0039] 2. Data transmission: The device transmits the collected biometric information to the server, which uses the generation method to analyze the received data.

[0040] Examples:

[0041] If a user enters "dry skin," "no allergies," or "concerned about blackheads," that data is sent to the server.

[0042] 3. Generation method: The server executes a generation algorithm based on the received biometric information. The generation algorithm identifies vegetable ingredients that are effective for specific skin concerns and constitutions, and generates appropriate beauty treatments and products.

[0043] Examples:

[0044] The server analyzes the input data, such as "dry skin" and "blackheads," and determines that avocado and cucumber are effective. Based on this information, it generates a moisturizing cream using avocado oil and a facial treatment using cucumber.

[0045] 4. Display means: The terminal displays the recommendation results received from the server. The user and salon staff can check the displayed recommendation results and suggest specific beauty treatments and products.

[0046] Examples:

[0047] The device will display suggestions such as "moisturizing cream using avocado oil" or "facial treatment using cucumber," allowing users to receive the optimal care on the spot.

[0048] Example

[0049] Customer B visits the beauty salon and uses the terminal to enter the following information:

[0050] Skin type: Oily skin

[0051] Past allergic reactions: None

[0052] Beauty Concern: Acne

[0053] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[0054] As described above, this system accurately acquires the user's biometric information and provides effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[0058] Step 2:

[0059] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[0060] Step 3:

[0061] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[0062] Step 4:

[0063] The device sends the stored user biometric information to the server. The data is securely transmitted to the server.

[0064] Step 5:

[0065] The server receives the biometric information sent from the terminal and inputs the received data into a generation algorithm, which is a generation means.

[0066] Step 6:

[0067] The server runs a generation algorithm that analyzes biometric information to identify vegetable ingredients that are effective for the user's skin and constitution. For example, avocado and cucumber are selected as ingredients that are effective for dry skin and blackheads.

[0068] Step 7:

[0069] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[0070] Step 8:

[0071] The server sends the generated recommendations to the device in real time.

[0072] Step 9:

[0073] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[0074] Step 10:

[0075] Based on the recommendations, users can select the most suitable beauty treatments and products in consultation with salon staff, who then carry out the actual treatments and provide the products.

[0076] This allows users to receive optimal beauty care based on their individual biometric information. By having the entire system work together, more effective and personalized beauty services are provided.

[0077] Example 1

[0078] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0079] Conventional beauty treatments and beauty products are not personalized based on individual users' biometric information, but are provided using a one-size-fits-all approach. This makes it difficult to provide beauty care that is best suited to each user's specific skin condition and constitution. To solve this problem, a system is needed that can automatically generate optimal beauty treatments and beauty products based on the user's biometric information and provide beauty care that is tailored to each individual.

[0080] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0081] In this invention, the server includes an input means for inputting a user's biometric information, a means for transmitting the biometric information to the server, a generation means for executing a generation algorithm based on the biometric information received by the server to generate beauty treatments and beauty products, and a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, thereby enabling the provision of personalized beauty care based on the user's biometric information.

[0082] "Biometric information" refers to information about the user's skin condition and constitution, specifically including skin type, past allergic reactions, beauty concerns, etc.

[0083] "Input means" refers to devices and software that allow users to input biometric information, and specifically includes terminals and question forms that run on them.

[0084] "Server" refers to a computer system for analyzing received biometric information and executing a generation algorithm.

[0085] "Transmission means" refers to the function or protocol for the terminal to transmit input biometric information to the server.

[0086] "Generation algorithm" refers to an algorithm for automatically generating beauty treatments and beauty products based on a user's biometric information.

[0087] "Generation means" refers to a function or system for generating beauty treatments or beauty products using a generation algorithm.

[0088] The "display means" refers to a device or software for visually presenting the beauty treatment and beauty product recommendations generated by the generation means to users and staff.

[0089] "Generative AI Model" refers to an artificial intelligence model used to implement a generative algorithm.

[0090] "Prompt sentence" refers to the text data of biometric information that is input into the generative AI model.

[0091] The system according to the present invention aims to generate optimal beauty treatments and beauty products based on a user's biometric information. This system includes an input unit, a transmission unit, a generation unit, and a display unit, and these units work together to provide personalized beauty suggestions to the user.

[0092] Hardware and software used

[0093] 1. Hardware:

[0094] Device (tablet or smartphone)

[0095] server

[0096] 2. Software:

[0097] User interface applications (applications for terminals that display questions and results)

[0098] Data analysis software (software that runs on the server to execute the generation algorithm)

[0099] Overall system operation

[0100] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. The user answers questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. For example, the user might input "dry skin," "no allergies," and "I'm concerned about blackheads."

[0101] 2. Transmission method: The device sends the entered information to the server. The device sends the user's input data to the server via the Internet, protecting it with a security protocol (e.g., HTTPS). Specifically, when the user taps "Send," the device encodes the input data and sends it to the server.

[0102] 3. Generation method: The server inputs the received data into the generative AI model and analyzes it using a specialized generation algorithm. For example, the server inputs the prompt phrases "dry skin" and "blackheads" into the generative AI model, and the analysis results indicate that avocado and cucumber are effective. Based on this information, the server creates a prescription for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[0103] 4. Display: The device displays the recommendation results received from the server, and the user and salon staff can check the displayed recommendation results. Specifically, the device displays suggestions such as "moisturizing cream using avocado oil" and "facial treatment using cucumber," and the user can view the suggestions and choose which treatment to receive.

[0104] Specific examples of operation

[0105] For example, Customer B visits a beauty salon and uses a terminal to enter the following information:

[0106] Skin type: Oily skin

[0107] Past allergic reactions: None

[0108] Beauty Concern: Acne

[0109] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[0110] This system accurately acquires the user's biometric information and provides effective beauty suggestions, enabling personalized beauty care tailored to individual needs.

[0111] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0112] Step 1:

[0113] Entering user information

[0114] Specific operation: A user visits a beauty salon and uses a terminal to input information about their skin condition and constitution. They then answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal.

[0115] Input: Information entered by the user into the device (e.g., "dry skin," "no allergies," "concerned about blackheads")

[0116] Output: Biometric data stored on the device

[0117] Step 2:

[0118] Sending data

[0119] Specific operation: The device sends the biometric information entered by the user to the server. When the "Send" button is pressed, the device protects the data with a security protocol (such as HTTPS) and encodes it before sending it to the server.

[0120] Input: User input data (biometric data stored on the device)

[0121] Output: The transmitted biometric information arrives at the server.

[0122] Step 3:

[0123] Analysis of biological information

[0124] Specific operation: The server inputs the received biometric information into the generative AI model for analysis. Specifically, the user's biometric information (e.g., "dry skin" or "blackened pores") is input into the generative AI model as a prompt sentence, and analysis is performed using an algorithm.

[0125] Input: Biometric data arriving at the server

[0126] Output: A list of effective vegetable ingredients identified as a result of the analysis and beauty products generated (e.g., avocado oil, cucumber)

[0127] Step 4:

[0128] Beauty product creation

[0129] What it does: The server generates beauty treatments and products based on the analysis results. For example, it uses a generative AI model to create a formula for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[0130] Input: Analysis results (identified effective vegetable ingredients)

[0131] Output: Reified beauty product or treatment prescription information (e.g., avocado oil moisturizing cream formula, cucumber treatment formula)

[0132] Step 5:

[0133] Displaying the results

[0134] Specific operation: The device displays the recommendation results received from the server. The user and beauty salon staff can then review the displayed recommendation results and suggest the most suitable beauty treatments and products to the user.

[0135] Input: Recommendation results received from the server (formulated beauty product or treatment prescription information)

[0136] Output: Recommendations displayed on the device (e.g., moisturizing cream with avocado oil, facial treatment with cucumber)

[0137] Through the above steps, users can easily select and receive the most suitable beauty treatments and products based on their own biometric information.

[0138] (Application example 1)

[0139] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0140] Today's consumers are seeking personalized beauty products and treatments based on their biometric information, but the market is dominated by generic products and lacks proposals tailored to individual needs. Furthermore, the difficulty of physically trying out products limits the means for consumers to experience the effects of a product before purchasing it. This makes it difficult for consumers to find the right product for them, often resulting in low satisfaction.

[0141] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0142] In this invention, the server includes an input means for inputting a user's biometric information, a generation means for generating beauty treatments and beauty products based on the biometric information, a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, a trial means for the user to simulate the recommendation results using augmented reality technology, and a purchase means for purchasing the beauty products based on the recommendation results. This allows consumers to receive recommendations for optimal beauty products and treatments based on their own biometric information and to virtually simulate the effects of the products and treatments before purchasing them.

[0143] "User's biological information" is data that represents the characteristics and conditions of the user's individual body, such as the user's skin type, past allergic reactions, and beauty concerns.

[0144] "Input means" refers to a method or device by which a user inputs their own biometric information into a terminal, and specifically includes a question form, a touch screen, etc.

[0145] "Generator" refers to algorithms or software that identify and generate beauty treatments or beauty products based on input biometric information.

[0146] The "display means" refers to a device or method for visually displaying the beauty treatment or beauty product recommendations generated by the generation means to the user, and specifically includes a display or monitor.

[0147] "Trial means" refers to a method or device that uses augmented reality technology to allow a user to virtually try out a proposed beauty treatment or beauty product.

[0148] "Purchase means" refers to a method or system for a user to purchase suggested beauty products within the application.

[0149] "Augmented reality technology" refers to a technology that overlays digital information onto a real environment, and is used by users to visualize virtual beauty effects using smartphones, tablets, etc.

[0150] "Generation algorithm" refers to the calculation method or procedure for generating beauty treatments or beauty products based on the user's biometric information. Specifically, it includes the process of identifying optimal ingredients based on the user's skin condition and constitution.

[0151] The present invention provides a system for recommending optimal beauty treatments and beauty products based on a user's biometric information, the system including: an input means for inputting the user's biometric information; a generation means for generating beauty treatments and beauty products based on the biometric information; a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means; a trial means for allowing the user to simulate the recommendation results using augmented reality technology; and a purchase means for purchasing the beauty products based on the recommendation results.

[0152] Overall system operation

[0153] 1. Input method:

[0154] The user uses a smartphone to input their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). Specifically, they enter the information into a question form displayed on the smartphone application. This information is then sent to the server via the input means.

[0155] 2. Generation means:

[0156] The server analyzes the received biometric information and generates optimal beauty treatments and products for the user using a generative AI model, which includes algorithms that identify recommended ingredients based on the user's skin condition and constitution.

[0157] 3. Display means:

[0158] The server sends the generated recommendations to the user's smartphone and displays them visually through the application, allowing the user to check the displayed recommendations.

[0159] 4. Trial method:

[0160] Based on the recommendations displayed, users can virtually try on beauty treatments and products using their smartphone camera and augmented reality technology (such as ARKit or ARCore), allowing them to simulate the effects of the products before purchasing them.

[0161] 5. Purchasing Method:

[0162] If the user is satisfied, they can purchase the beauty product directly within the application. This purchasing method allows the user to easily obtain the recommended products.

[0163] Hardware and Software Used

[0164] Cloud server: Uses a cloud platform such as AWS (registered trademark) (Amazon Web Services), Google (registered trademark) Cloud, or Microsoft (registered trademark) Azure (registered trademark).

[0165] Smartphones: iOS devices (iPhone (registered trademark), iPad (registered trademark)) and ANDROID (registered trademark) devices (smartphones, tablets) are used.

[0166] Generative AI models: Utilizing natural language processing models such as GPT and BERT, they generate beauty products and treatments based on the user's biometric information. Specifically, OpenAI's GPT-4 (registered trademark) is one such example.

[0167] Augmented reality technology: AR technologies such as Apple's ARKit and Google's ARCore will be used to enable virtual try-on functionality.

[0168] Specific examples

[0169] As a concrete example, suppose a user opens an application and enters the following information:

[0170] Skin type: Dry skin

[0171] Past allergic reactions: None

[0172] Beauty concern: Blackheads

[0173] The server receives this information and analyzes it with a generative AI model. The generative algorithm determines that a moisturizing cream using avocado oil or a facial treatment using cucumber would be ideal for a user with dry skin and blackheads. Based on this information, information is sent to the smartphone, and the user can view the recommended products on a display. They can then virtually try them on using augmented reality technology to simulate the effects.

[0174] Prompt Sentence Examples

[0175] The actual prompt text to be input to the generative AI model is as follows:

[0176] "Generate optimal beauty suggestions based on user information. User details are: skin type is dry skin, no history of allergic reactions, beauty concern is blackheads."

[0177] This allows users to enjoy a more personalized beauty experience.

[0178] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0179] Step 1:

[0180] The user opens the smartphone application and inputs their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). The input information is sent to the cloud server via the input means. The input here is "dry skin" for skin type, "none" for past allergic reactions, and "black pores" for beauty concerns.

[0181] Input: User's biometric information

[0182] Output: User's biometric information sent to the cloud server

[0183] Step 2:

[0184] The server receives the biometric information and passes it to a generative AI model. The generative AI model analyzes the information and identifies recommended ingredients based on the user's skin condition and constitution. For example, if a user has dry skin and is concerned about blackheads, it might recommend avocado oil or cucumber.

[0185] Input: User's biometric information sent to the cloud server

[0186] Output: Recommended ingredients (avocado oil, cucumber) from the generative AI model

[0187] Step 3:

[0188] The server generates beauty treatment and product recommendations based on the recommended ingredients obtained from the generative AI model. For example, a moisturizing cream containing avocado oil or a facial treatment using cucumber may be recommended. The generated recommendation results are sent to a display means.

[0189] Input: Recommended ingredients by generative AI model

[0190] Output: Beauty treatment and product recommendations

[0191] Step 4:

[0192] The application displays the recommendations received from the server on the user's smartphone. The user can then review the displayed recommendations. For example, recommended products such as "moisturizing cream using avocado oil" and "facial treatment using cucumber" are displayed.

[0193] Input: Beauty treatment and product recommendations

[0194] Output: A list of recommended products displayed on a smartphone

[0195] Step 5:

[0196] Users can use their smartphone camera and augmented reality technology to virtually try on the recommended products. For example, augmented reality technology can be used to simulate the user applying a moisturizing cream containing avocado oil to their face.

[0197] Input: List of recommended products displayed on the smartphone, user's camera image

[0198] Output: Visual simulation of the virtual trial

[0199] Step 6:

[0200] Users can purchase suitable beauty products within the app based on the displayed recommendations and the results of the virtual try-on. Users follow the purchasing process and enter the necessary information to complete the payment.

[0201] Input: Visual simulation results of virtual trial, user purchase payment information

[0202] Output: Beauty products purchased

[0203] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0204] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information and emotions. This system is equipped with an input means, a generation means, a display means, and an emotion engine for recognizing emotions, and these means work together to provide personalized beauty suggestions to customers.

[0205] Overall system operation

[0206] 1. Input method: When the user arrives at the beauty salon, the salon staff hand over a device (tablet or smartphone) and the user accesses the device. A questionnaire about the user's skin type and constitution is displayed to the user. Questions include items such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" The user answers the questions and the input data is saved on the device.

[0207] Examples:

[0208] The user enters "dry skin," "no allergies," and "concerned about blackheads."

[0209] 2. Emotion engine: The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[0210] 3. Data transmission: The device transmits the collected biometric and emotion data to the server. Data transmission to the server is secure.

[0211] 4. Generation method: The server executes a generation algorithm based on the received biometric and emotional data. The generation algorithm analyzes the biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and generates appropriate beauty treatments and products.

[0212] Examples:

[0213] The server analyzes the input data, such as "dry skin," "blackheads," and "relaxed," and determines that avocado and cucumber are effective, and that a relaxing treatment using lavender is also suitable. Based on this information, it generates a moisturizing cream using avocado oil and a lavender-scented facial treatment.

[0214] 5. Display means: The terminal displays the recommendation results received from the server to the user and salon staff. The message displayed is, "Recommended treatments are: moisturizing cream using avocado oil, lavender-scented facial treatment."

[0215] 6. Evaluation and selection: Based on the recommendations, the user selects the most suitable beauty treatments and products in consultation with salon staff. The salon staff then performs the treatments and provides the products.

[0216] Example

[0217] Customer C visits the beauty salon and uses the terminal to enter the following information:

[0218] Skin type: Oily skin

[0219] Past allergic reactions: None

[0220] Beauty Concern: Acne

[0221] The emotion engine analyzes the user's facial expression and determines that the user is feeling stressed. The device then sends this information and emotional data to the server. The server then analyzes the biometric information and emotional data to identify ingredients (e.g., tomato and grapefruit) that are effective against oily skin and acne, and suggests a treatment using chamomile, which is effective in relieving stress. Based on the analysis results, a tomato-based facial mask and an aromatherapy treatment containing chamomile are generated.

[0222] The device displays these suggestions, allowing User C to learn more about each beauty treatment and receive the most appropriate care. In this way, the system accurately acquires the user's biometric information and emotions and makes effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[0223] The processing flow will be explained below.

[0224] Step 1:

[0225] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[0226] Step 2:

[0227] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[0228] Step 3:

[0229] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[0230] Step 4:

[0231] The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[0232] Step 5:

[0233] The device transmits the stored biometric information and emotion data of the user to the server. The data transmission to the server is secure.

[0234] Step 6:

[0235] The server receives the biometric information and emotion data sent from the terminal, and inputs the received data into a generation algorithm, which is a generation means.

[0236] Step 7:

[0237] The server runs a generation algorithm that analyzes biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and then generates appropriate beauty treatments and products.

[0238] Step 8:

[0239] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[0240] Step 9:

[0241] The server sends the generated recommendations to the device in real time.

[0242] Step 10:

[0243] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[0244] Step 11:

[0245] Based on the recommendations, users can consult with salon staff to select the most suitable beauty treatments and products, and the salon staff will then carry out the actual treatments and provide the products.

[0246] This allows users to receive optimal beauty care based on their individual biometric information and emotions. The entire system works together to provide more effective and personalized beauty services.

[0247] Example 2

[0248] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0249] Conventional beauty treatment and beauty product generation systems make recommendations based solely on the user's biometric information, making it difficult to provide personalized recommendations that take into account the user's emotional state and stress level. This makes it difficult for users to achieve results that are fully satisfactory, making improving customer satisfaction a challenge.

[0250] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0251] In this invention, the server includes input means for inputting a user's biometric information and emotional data, generation means for generating beauty treatments and beauty products based on the biometric information and emotional data, display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, and an emotion engine for analyzing emotions by collecting data from the user's facial expressions, voice, or biosensors, thereby making it possible to comprehensively analyze the user's biometric information and emotional state and recommend optimal beauty treatments and products according to the user's individual needs and emotional state.

[0252] "Input means" refers to a device that collects biometric information and emotional data of the user and inputs it into the system.

[0253] The "generation means" is a device that performs processing to generate optimal beauty treatments and beauty products based on the collected biometric information and emotional data.

[0254] The "display means" is a device for visually showing the user the beauty treatment or beauty product recommendations generated by the generation means.

[0255] An "emotion engine" is software or a device that analyzes a user's facial expressions, voice, or biometric sensor data to identify the user's emotional state.

[0256] "Biometric information" refers to physiological data such as the user's skin condition and constitution.

[0257] "Emotion data" refers to data that indicates the user's emotional state, such as facial expressions, voice, or data collected by biometric sensors.

[0258] The "server" is a central device that processes data for the entire system and manages the beauty treatments and products generated by the generating means.

[0259] A system according to the present invention collects biometric information and emotional data of a user and generates optimal beauty treatments and beauty products based on the collected data. The system includes an input means for inputting the biometric information and emotional data of the user, a generation means for analyzing the collected data and generating appropriate suggestions, a display means for displaying the generated results to the user, and an emotion engine for analyzing the emotional data.

[0260] The system's program works as follows: when a user arrives at a salon, salon staff hand over a device (tablet or smartphone) and the user logs in. A questionnaire about skin type and constitution is displayed on the device screen. The user answers the questionnaire and enters information such as "dry skin," "no allergies," and "concerned about blackheads." These response data are then saved on the device.

[0261] Next, when the device detects that the user has completed input, the emotion engine is activated. This emotion engine uses tools such as OpenCV and Face API to collect the user's facial expressions and voice through the device's camera and microphone. The emotion engine analyzes this data and identifies the user's emotional state, such as "relaxed" or "stressed."

[0262] The collected biometric and emotional data is securely transmitted from the device to a server. The data is encrypted using SSL / TLS communication to ensure security. The server analyzes the received data and generates the optimal beauty treatments and products for the user.

[0263] The server uses a generative AI model to analyze and process the received biometric and emotional data. This generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. For example, from input data such as "dry skin," "blackened pores," and "relaxed," it can determine that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[0264] The server generates recommendations that are then sent to the device. The device receives the recommendations and displays them to the user and salon staff. Examples of recommended treatments include: "Recommended treatments include a moisturizing cream with avocado oil and a lavender-scented facial treatment." The device also allows users to view detailed descriptions and images.

[0265] Finally, the user selects the most suitable beauty treatment or product based on the information displayed on the terminal and in consultation with the salon staff. The selected treatment or product is then provided by the salon staff.

[0266] As described above, the present invention can comprehensively analyze a user's biological information and emotional state, and suggest personalized beauty treatments and products that meet the individual needs and emotions.

[0267] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0268] Step 1:

[0269] When a user visits a beauty salon, salon staff will hand over a device (tablet or smartphone). The user logs in to the device and enters information into a questionnaire that appears on the screen. The questionnaire includes items such as "skin type," "past allergic reactions," and "beauty concerns." The data entered by the user includes specific information such as "dry skin," "no allergies," and "concerned about blackheads." This input data is saved on the device.

[0270] Input: User's biological information (e.g., "dry skin," "no allergies," "concerned about blackheads")

[0271] Output: Input data is saved to the device

[0272] Step 2:

[0273] Once the user has completed entering information, the device detects this and activates the emotion engine. The emotion engine collects the user's facial expressions and voice through the device's camera and microphone. Specifically, it analyzes this data using tools such as OpenCV and Face API to identify emotions such as "relaxed" or "stressed."

[0274] Input: User's facial expression data, voice data

[0275] Output: Emotion data (e.g., "relaxed")

[0276] Step 3:

[0277] The device sends the collected biometric and emotional data to a server. The data is encrypted using SSL / TLS communication to ensure security. The server receives the data.

[0278] Input: Biometric information and emotional data (data sent from the device)

[0279] Output: The received data is saved on the server.

[0280] Step 4:

[0281] The server uses a generative AI model to analyze the received biometric and emotional data. The generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. Specifically, based on the user's input data (e.g., "dry skin," "blackened pores," and "relaxed"), it determines that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[0282] Input: Biometric and emotional data, prompts

[0283] Output: Recommended ingredients and beauty treatments (e.g., "avocado oil" or "lavender treatment")

[0284] Step 5:

[0285] The server sends the generated recommendation results to the device. The device receives the recommendation results and displays them to the user and salon staff. The displayed content includes specific suggestions such as "Recommended treatments are: moisturizing cream with avocado oil, lavender-scented facial treatment."

[0286] Input: Recommended results (data sent from the server)

[0287] Output: Suggested results are displayed on the terminal.

[0288] Step 6:

[0289] Based on the information displayed on the device, the user consults with salon staff to select the most suitable beauty treatments and products. The selected treatments and products are then provided by the salon staff. Ultimately, a personalized beauty treatment is provided that meets the user's individual needs and emotional state.

[0290] Input: Recommended results, user selection

[0291] Output: Beauty treatments performed and products provided

[0292] (Application example 2)

[0293] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0294] Conventional beauty salons only offer general beauty treatments and products tailored to the user's skin condition and constitution, making it difficult to provide optimal beauty care for each individual user.In addition, there was a lack of technology to personalize beauty treatments that took the user's emotional state into consideration, which resulted in a problem of not being able to sufficiently improve user satisfaction.

[0295] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0296] In this invention, the server includes input means for inputting biometric information of a user, emotion analysis means for analyzing emotion data from facial expressions and voice acquired by the input means, transmission means for transmitting the biometric information and emotion data to the server, generation means including a generation algorithm for generating optimal beauty treatments and beauty products based on the biometric information and emotion data, and display means for displaying the recommended beauty treatments and beauty products generated by the generation means, thereby making it possible to provide optimal beauty care individually based on the user's skin condition and emotional state.

[0297] "User's biometric information" is a general term for personal health information such as the user's skin type, allergy history, and beauty concerns.

[0298] "Input means" refers to a device or interface that a user uses to input biometric information.

[0299] "Emotion analysis means for analyzing emotional data from facial expressions and voice" refers to technology or devices that analyze a user's facial expressions and voice in real time and identify their emotional state.

[0300] "Transmission means" refers to a function or device for safely transmitting the user's biometric information and emotional data to the server.

[0301] "Generative algorithms" refer to computational methods or programs that identify optimal beauty treatments and products based on a user's biometric and emotional data.

[0302] "Display means" refers to a device or interface for communicating the generated beauty treatment or beauty product recommendations to the user or salon staff.

[0303] "Beauty treatment" is a general term for beauty care methods and processes applied to a user's skin or body.

[0304] "Beauty products" refers to products such as creams, masks, and oils that are used for cosmetic purposes.

[0305] The system according to the present invention generates and provides optimal beauty treatments and beauty products to users based on their biometric and emotional data. The system includes the following main components:

[0306] System configuration

[0307] 1. Input Method

[0308] The system collects biometric information from users using devices (smartphones or tablets). Specifically, users are asked to enter information such as skin type, allergy history, and beauty concerns into an input form. The device is assumed to be a standard smartphone or tablet.

[0309] 2. Emotion analysis method

[0310] Using the device's built-in camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. This is done using emotion analysis engines such as OpenCV and Microsoft Azure Emotion API. This analysis identifies the user's emotional state, such as whether they are relaxed or stressed.

[0311] 3. Transmission Method

[0312] This is a means for securely transmitting a user's biometric and emotional data to a server. The HTTPS protocol is used for data transmission, which protects the privacy of user data.

[0313] 4. Generation means

[0314] Based on the received biometric and emotional data, the server runs an algorithm to generate optimal beauty treatments and products. The algorithm uses machine learning frameworks such as Python, Scikit-learn, and TENSORFLOW®. The algorithm identifies appropriate beauty care ingredients based on the user's skin condition and emotional state.

[0315] 5. Display means

[0316] The generated beauty treatment and product recommendations are displayed on the device, allowing the user and salon staff to check the suggested beauty treatments and provide appropriate treatments and products. The display is typically a tablet or smartphone screen.

[0317] Specific examples of operation procedures

[0318] 1. User interface: The user arrives at the beauty salon and uses a tablet to enter information such as their skin type, allergy history, and concerns.

[0319] 2. Emotion analysis: Using the device's built-in camera and microphone, the user's facial expressions and voice are analyzed in real time to identify their emotional state.

[0320] 3. Data Transmission: Collected data is transmitted to a server using a security protocol.

[0321] 4. Generating beauty recommendations: A generation algorithm on the server analyzes the data and generates beauty treatments and products that are best suited to the user's condition.

[0322] 5. Display suggestions: Recommended treatments are displayed to the user and salon staff.

[0323] Examples of prompt statements

[0324] "Recommend the best beauty treatments and products based on the user's skin type, allergy history, beauty concerns, and emotional data. For example, if the user has oily skin, acne, and is stressed, what treatments would you recommend?"

[0325] This system allows users at beauty salons to receive personalized beauty care and receive recommendations for optimal products and treatments, which is expected to improve user satisfaction and the reputation of the salon.

[0326] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0327] Step 1:

[0328] User Interface

[0329] Using a device (smartphone or tablet), the user inputs their own biometric information (skin type, allergy history, beauty concerns, etc.). A form-style interface is displayed as the input method, and the user answers these questions. The input data is temporarily stored on the device. Data processing involves converting the user's biometric information into structured data.

[0330] Input: User's skin type, allergy history, beauty concerns, etc.

[0331] Output: Structured user biometric data

[0332] Step 2:

[0333] Emotion analysis

[0334] The device's built-in camera and microphone are used to analyze the user's facial expressions and voice in real time to obtain emotional data. An emotion analysis engine such as OpenCV or Microsoft Azure Emotion API is used to identify the user's emotional state (e.g., relaxed, stressed) from this data. The analysis results are stored on the device. The data is then processed by the emotion analysis engine, which converts the user's voice and facial expression data into an emotional state.

[0335] Input: User facial expression video and audio data

[0336] Output: Emotion data (relaxed, stressed, etc.)

[0337] Step 3:

[0338] Data transmission

[0339] The biometric and emotional data collected on the device is securely transmitted to a server using the HTTPS protocol. End-to-end encrypted communication is used to ensure data integrity and privacy. Data processing involves encoding the data into a transmittable format.

[0340] Input: Structured data and sentiment data

[0341] Output: Notification of completion of transmission to the server

[0342] Step 4:

[0343] Generate beauty suggestions

[0344] The server runs a generation algorithm (using Python, Scikit-learn, TensorFlow, etc.) based on the received biometric and emotional data. The generation algorithm analyzes the user's data and identifies the most suitable beauty treatments and products. Specifically, the algorithm identifies beauty care ingredients based on a recommendation model that suits the user's skin type and emotional state, and uses these to generate beauty products.

[0345] Input: Biometric and emotional data sent to the server

[0346] Output: Optimal beauty treatment and product data

[0347] Step 5:

[0348] Displaying the results

[0349] The generated beauty treatment and product data is returned to the terminal, and the recommendation results are presented to the user and salon staff via a display means. The display means displays detailed beauty treatment and product information on the display of a tablet or smartphone. Specifically, the system helps the user to select the most suitable beauty care based on the displayed information.

[0350] Input: Optimal beauty treatment and product data

[0351] Output: Recommendation results displayed to the user and salon staff

[0352] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0353] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0354] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0355] [Second embodiment]

[0356] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0357] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0358] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0359] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0360] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0361] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0362] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0363] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0364] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0365] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0366] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0367] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0368] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information. This system is equipped with an input means, a generation means, and a display means, and these means work together to provide personalized beauty suggestions to customers.

[0369] Overall system operation

[0370] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. Specifically, they answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. This allows the necessary biometric information to be collected.

[0371] 2. Data transmission: The device transmits the collected biometric information to the server, which uses the generation method to analyze the received data.

[0372] Examples:

[0373] If a user enters "dry skin," "no allergies," or "concerned about blackheads," that data is sent to the server.

[0374] 3. Generation method: The server executes a generation algorithm based on the received biometric information. The generation algorithm identifies vegetable ingredients that are effective for specific skin concerns and constitutions, and generates appropriate beauty treatments and products.

[0375] Examples:

[0376] The server analyzes the input data, such as "dry skin" and "blackheads," and determines that avocado and cucumber are effective. Based on this information, it generates a moisturizing cream using avocado oil and a facial treatment using cucumber.

[0377] 4. Display means: The terminal displays the recommendation results received from the server. The user and salon staff can check the displayed recommendation results and suggest specific beauty treatments and products.

[0378] Examples:

[0379] The device will display suggestions such as "moisturizing cream using avocado oil" or "facial treatment using cucumber," allowing users to receive the optimal care on the spot.

[0380] Example

[0381] Customer B visits the beauty salon and uses the terminal to enter the following information:

[0382] Skin type: Oily skin

[0383] Past allergic reactions: None

[0384] Beauty Concern: Acne

[0385] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[0386] As described above, this system accurately acquires the user's biometric information and provides effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[0387] The processing flow will be explained below.

[0388] Step 1:

[0389] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[0390] Step 2:

[0391] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[0392] Step 3:

[0393] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[0394] Step 4:

[0395] The device sends the stored user biometric information to the server. The data is securely transmitted to the server.

[0396] Step 5:

[0397] The server receives the biometric information sent from the terminal and inputs the received data into a generation algorithm, which is a generation means.

[0398] Step 6:

[0399] The server runs a generation algorithm that analyzes biometric information to identify vegetable ingredients that are effective for the user's skin and constitution. For example, avocado and cucumber are selected as ingredients that are effective for dry skin and blackheads.

[0400] Step 7:

[0401] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[0402] Step 8:

[0403] The server sends the generated recommendations to the device in real time.

[0404] Step 9:

[0405] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[0406] Step 10:

[0407] Based on the recommendations, users can select the most suitable beauty treatments and products in consultation with salon staff, who then carry out the actual treatments and provide the products.

[0408] This allows users to receive optimal beauty care based on their individual biometric information. By having the entire system work together, more effective and personalized beauty services are provided.

[0409] Example 1

[0410] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0411] Conventional beauty treatments and beauty products are not personalized based on individual users' biometric information, but are provided using a one-size-fits-all approach. This makes it difficult to provide beauty care that is best suited to each user's specific skin condition and constitution. To solve this problem, a system is needed that can automatically generate optimal beauty treatments and beauty products based on the user's biometric information and provide beauty care that is tailored to each individual.

[0412] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0413] In this invention, the server includes an input means for inputting a user's biometric information, a means for transmitting the biometric information to the server, a generation means for executing a generation algorithm based on the biometric information received by the server to generate beauty treatments and beauty products, and a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, thereby enabling the provision of personalized beauty care based on the user's biometric information.

[0414] "Biometric information" refers to information about the user's skin condition and constitution, specifically including skin type, past allergic reactions, beauty concerns, etc.

[0415] "Input means" refers to devices and software that allow users to input biometric information, and specifically includes terminals and question forms that run on them.

[0416] "Server" refers to a computer system for analyzing received biometric information and executing a generation algorithm.

[0417] "Transmission means" refers to the function or protocol for the terminal to transmit input biometric information to the server.

[0418] "Generation algorithm" refers to an algorithm for automatically generating beauty treatments and beauty products based on a user's biometric information.

[0419] "Generation means" refers to a function or system for generating beauty treatments or beauty products using a generation algorithm.

[0420] The "display means" refers to a device or software for visually presenting the beauty treatment and beauty product recommendations generated by the generation means to users and staff.

[0421] "Generative AI Model" refers to an artificial intelligence model used to implement a generative algorithm.

[0422] "Prompt sentence" refers to the text data of biometric information that is input into the generative AI model.

[0423] The system according to the present invention aims to generate optimal beauty treatments and beauty products based on a user's biometric information. This system includes an input unit, a transmission unit, a generation unit, and a display unit, and these units work together to provide personalized beauty suggestions to the user.

[0424] Hardware and software used

[0425] 1. Hardware:

[0426] Device (tablet or smartphone)

[0427] server

[0428] 2. Software:

[0429] User interface applications (applications for terminals that display questions and results)

[0430] Data analysis software (software that runs on the server to execute the generation algorithm)

[0431] Overall system operation

[0432] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. The user answers questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. For example, the user might input "dry skin," "no allergies," and "I'm concerned about blackheads."

[0433] 2. Transmission method: The device sends the entered information to the server. The device sends the user's input data to the server via the Internet, protecting it with a security protocol (e.g., HTTPS). Specifically, when the user taps "Send," the device encodes the input data and sends it to the server.

[0434] 3. Generation method: The server inputs the received data into the generative AI model and analyzes it using a specialized generation algorithm. For example, the server inputs the prompt phrases "dry skin" and "blackheads" into the generative AI model, and the analysis results indicate that avocado and cucumber are effective. Based on this information, the server creates a prescription for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[0435] 4. Display: The device displays the recommendation results received from the server, and the user and salon staff can check the displayed recommendation results. Specifically, the device displays suggestions such as "moisturizing cream using avocado oil" and "facial treatment using cucumber," and the user can view the suggestions and choose which treatment to receive.

[0436] Specific examples of operation

[0437] For example, Customer B visits a beauty salon and uses a terminal to enter the following information:

[0438] Skin type: Oily skin

[0439] Past allergic reactions: None

[0440] Beauty Concern: Acne

[0441] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[0442] This system accurately acquires the user's biometric information and provides effective beauty suggestions, enabling personalized beauty care tailored to individual needs.

[0443] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0444] Step 1:

[0445] Entering user information

[0446] Specific operation: A user visits a beauty salon and uses a terminal to input information about their skin condition and constitution. They then answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal.

[0447] Input: Information entered by the user into the device (e.g., "dry skin," "no allergies," "concerned about blackheads")

[0448] Output: Biometric data stored on the device

[0449] Step 2:

[0450] Sending data

[0451] Specific operation: The device sends the biometric information entered by the user to the server. When the "Send" button is pressed, the device protects the data with a security protocol (such as HTTPS) and encodes it before sending it to the server.

[0452] Input: User input data (biometric data stored on the device)

[0453] Output: The transmitted biometric information arrives at the server.

[0454] Step 3:

[0455] Analysis of biological information

[0456] Specific operation: The server inputs the received biometric information into the generative AI model for analysis. Specifically, the user's biometric information (e.g., "dry skin" or "blackened pores") is input into the generative AI model as a prompt sentence, and analysis is performed using an algorithm.

[0457] Input: Biometric data arriving at the server

[0458] Output: A list of effective vegetable ingredients identified as a result of the analysis and beauty products generated (e.g., avocado oil, cucumber)

[0459] Step 4:

[0460] Beauty product creation

[0461] What it does: The server generates beauty treatments and products based on the analysis results. For example, it uses a generative AI model to create a formula for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[0462] Input: Analysis results (identified effective vegetable ingredients)

[0463] Output: Reified beauty product or treatment prescription information (e.g., avocado oil moisturizing cream formula, cucumber treatment formula)

[0464] Step 5:

[0465] Displaying the results

[0466] Specific operation: The device displays the recommendation results received from the server. The user and beauty salon staff can then review the displayed recommendation results and suggest the most suitable beauty treatments and products to the user.

[0467] Input: Recommendation results received from the server (formulated beauty product or treatment prescription information)

[0468] Output: Recommendations displayed on the device (e.g., moisturizing cream with avocado oil, facial treatment with cucumber)

[0469] Through the above steps, users can easily select and receive the most suitable beauty treatments and products based on their own biometric information.

[0470] (Application example 1)

[0471] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0472] Today's consumers are seeking personalized beauty products and treatments based on their biometric information, but the market is dominated by generic products and lacks proposals tailored to individual needs. Furthermore, the difficulty of physically trying out products limits the means for consumers to experience the effects of a product before purchasing it. This makes it difficult for consumers to find the right product for them, often resulting in low satisfaction.

[0473] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0474] In this invention, the server includes an input means for inputting a user's biometric information, a generation means for generating beauty treatments and beauty products based on the biometric information, a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, a trial means for the user to simulate the recommendation results using augmented reality technology, and a purchase means for purchasing the beauty products based on the recommendation results. This allows consumers to receive recommendations for optimal beauty products and treatments based on their own biometric information and to virtually simulate the effects of the products and treatments before purchasing them.

[0475] "User's biological information" is data that represents the characteristics and conditions of the user's individual body, such as the user's skin type, past allergic reactions, and beauty concerns.

[0476] "Input means" refers to a method or device by which a user inputs their own biometric information into a terminal, and specifically includes a question form, a touch screen, etc.

[0477] "Generator" refers to algorithms or software that identify and generate beauty treatments or beauty products based on input biometric information.

[0478] The "display means" refers to a device or method for visually displaying the beauty treatment or beauty product recommendations generated by the generation means to the user, and specifically includes a display or monitor.

[0479] "Trial means" refers to a method or device that uses augmented reality technology to allow a user to virtually try out a proposed beauty treatment or beauty product.

[0480] "Purchase means" refers to a method or system for a user to purchase suggested beauty products within the application.

[0481] "Augmented reality technology" refers to a technology that overlays digital information onto a real environment, and is used by users to visualize virtual beauty effects using smartphones, tablets, etc.

[0482] "Generation algorithm" refers to the calculation method or procedure for generating beauty treatments or beauty products based on the user's biometric information. Specifically, it includes the process of identifying optimal ingredients based on the user's skin condition and constitution.

[0483] The present invention provides a system for recommending optimal beauty treatments and beauty products based on a user's biometric information, the system including: an input means for inputting the user's biometric information; a generation means for generating beauty treatments and beauty products based on the biometric information; a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means; a trial means for allowing the user to simulate the recommendation results using augmented reality technology; and a purchase means for purchasing the beauty products based on the recommendation results.

[0484] Overall system operation

[0485] 1. Input method:

[0486] The user uses a smartphone to input their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). Specifically, they enter the information into a question form displayed on the smartphone application. This information is then sent to the server via the input means.

[0487] 2. Generation means:

[0488] The server analyzes the received biometric information and generates optimal beauty treatments and products for the user using a generative AI model, which includes algorithms that identify recommended ingredients based on the user's skin condition and constitution.

[0489] 3. Display means:

[0490] The server sends the generated recommendations to the user's smartphone and displays them visually through the application, allowing the user to check the displayed recommendations.

[0491] 4. Trial method:

[0492] Based on the recommendations displayed, users can virtually try on beauty treatments and products using their smartphone camera and augmented reality technology (such as ARKit or ARCore), allowing them to simulate the effects of the products before purchasing them.

[0493] 5. Purchasing Method:

[0494] If the user is satisfied, they can purchase the beauty product directly within the application. This purchasing method allows the user to easily obtain the recommended products.

[0495] Hardware and Software Used

[0496] Cloud servers: Use cloud platforms such as AWS (Amazon Web Services), Google Cloud, and Microsoft Azure.

[0497] Smartphones: Use iOS devices (iPhone, iPad) and Android devices (smartphones, tablets).

[0498] Generative AI models: These utilize natural language processing models such as GPT and BERT to generate beauty products and treatments based on the user's biometric information. Examples include OpenAI's GPT-4.

[0499] Augmented reality technology: AR technologies such as Apple's ARKit and Google's ARCore will be used to enable virtual try-on functionality.

[0500] Specific examples

[0501] As a concrete example, suppose a user opens an application and enters the following information:

[0502] Skin type: Dry skin

[0503] Past allergic reactions: None

[0504] Beauty concern: Blackheads

[0505] The server receives this information and analyzes it with a generative AI model. The generative algorithm determines that a moisturizing cream using avocado oil or a facial treatment using cucumber would be ideal for a user with dry skin and blackheads. Based on this information, information is sent to the smartphone, and the user can view the recommended products on a display. They can then virtually try them on using augmented reality technology to simulate the effects.

[0506] Prompt Sentence Examples

[0507] The actual prompt text to be input to the generative AI model is as follows:

[0508] "Generate optimal beauty suggestions based on user information. User details are: skin type is dry skin, no history of allergic reactions, beauty concern is blackheads."

[0509] This allows users to enjoy a more personalized beauty experience.

[0510] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0511] Step 1:

[0512] The user opens the smartphone application and inputs their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). The input information is sent to the cloud server via the input means. The input here is "dry skin" for skin type, "none" for past allergic reactions, and "black pores" for beauty concerns.

[0513] Input: User's biometric information

[0514] Output: User's biometric information sent to the cloud server

[0515] Step 2:

[0516] The server receives the biometric information and passes it to a generative AI model. The generative AI model analyzes the information and identifies recommended ingredients based on the user's skin condition and constitution. For example, if a user has dry skin and is concerned about blackheads, it might recommend avocado oil or cucumber.

[0517] Input: User's biometric information sent to the cloud server

[0518] Output: Recommended ingredients (avocado oil, cucumber) from the generative AI model

[0519] Step 3:

[0520] The server generates beauty treatment and product recommendations based on the recommended ingredients obtained from the generative AI model. For example, a moisturizing cream containing avocado oil or a facial treatment using cucumber may be recommended. The generated recommendation results are sent to a display means.

[0521] Input: Recommended ingredients by generative AI model

[0522] Output: Beauty treatment and product recommendations

[0523] Step 4:

[0524] The application displays the recommendations received from the server on the user's smartphone. The user can then review the displayed recommendations. For example, recommended products such as "moisturizing cream using avocado oil" and "facial treatment using cucumber" are displayed.

[0525] Input: Beauty treatment and product recommendations

[0526] Output: A list of recommended products displayed on a smartphone

[0527] Step 5:

[0528] Users can use their smartphone camera and augmented reality technology to virtually try on the recommended products. For example, augmented reality technology can be used to simulate the user applying a moisturizing cream containing avocado oil to their face.

[0529] Input: List of recommended products displayed on the smartphone, user's camera image

[0530] Output: Visual simulation of the virtual trial

[0531] Step 6:

[0532] Users can purchase suitable beauty products within the app based on the displayed recommendations and the results of the virtual try-on. Users follow the purchasing process and enter the necessary information to complete the payment.

[0533] Input: Visual simulation results of virtual trial, user purchase payment information

[0534] Output: Beauty products purchased

[0535] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0536] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information and emotions. This system is equipped with an input means, a generation means, a display means, and an emotion engine for recognizing emotions, and these means work together to provide personalized beauty suggestions to customers.

[0537] Overall system operation

[0538] 1. Input method: When the user arrives at the beauty salon, the salon staff hand over a device (tablet or smartphone) and the user accesses the device. A questionnaire about the user's skin type and constitution is displayed to the user. Questions include items such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" The user answers the questions and the input data is saved on the device.

[0539] Examples:

[0540] The user enters "dry skin," "no allergies," and "concerned about blackheads."

[0541] 2. Emotion engine: The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[0542] 3. Data transmission: The device transmits the collected biometric and emotion data to the server. Data transmission to the server is secure.

[0543] 4. Generation method: The server executes a generation algorithm based on the received biometric and emotional data. The generation algorithm analyzes the biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and generates appropriate beauty treatments and products.

[0544] Examples:

[0545] The server analyzes the input data, such as "dry skin," "blackheads," and "relaxed," and determines that avocado and cucumber are effective, and that a relaxing treatment using lavender is also suitable. Based on this information, it generates a moisturizing cream using avocado oil and a lavender-scented facial treatment.

[0546] 5. Display means: The terminal displays the recommendation results received from the server to the user and salon staff. The message displayed is, "Recommended treatments are: moisturizing cream using avocado oil, lavender-scented facial treatment."

[0547] 6. Evaluation and selection: Based on the recommendations, the user selects the most suitable beauty treatments and products in consultation with salon staff. The salon staff then performs the treatments and provides the products.

[0548] Example

[0549] Customer C visits the beauty salon and uses the terminal to enter the following information:

[0550] Skin type: Oily skin

[0551] Past allergic reactions: None

[0552] Beauty Concern: Acne

[0553] The emotion engine analyzes the user's facial expression and determines that the user is feeling stressed. The device then sends this information and emotional data to the server. The server then analyzes the biometric information and emotional data to identify ingredients (e.g., tomato and grapefruit) that are effective against oily skin and acne, and suggests a treatment using chamomile, which is effective in relieving stress. Based on the analysis results, a tomato-based facial mask and an aromatherapy treatment containing chamomile are generated.

[0554] The device displays these suggestions, allowing User C to learn more about each beauty treatment and receive the most appropriate care. In this way, the system accurately acquires the user's biometric information and emotions and makes effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[0555] The processing flow will be explained below.

[0556] Step 1:

[0557] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[0558] Step 2:

[0559] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[0560] Step 3:

[0561] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[0562] Step 4:

[0563] The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[0564] Step 5:

[0565] The device transmits the stored biometric information and emotion data of the user to the server. The data transmission to the server is secure.

[0566] Step 6:

[0567] The server receives the biometric information and emotion data sent from the terminal, and inputs the received data into a generation algorithm, which is a generation means.

[0568] Step 7:

[0569] The server runs a generation algorithm that analyzes biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and then generates appropriate beauty treatments and products.

[0570] Step 8:

[0571] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[0572] Step 9:

[0573] The server sends the generated recommendations to the device in real time.

[0574] Step 10:

[0575] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[0576] Step 11:

[0577] Based on the recommendations, users can consult with salon staff to select the most suitable beauty treatments and products, and the salon staff will then carry out the actual treatments and provide the products.

[0578] This allows users to receive optimal beauty care based on their individual biometric information and emotions. The entire system works together to provide more effective and personalized beauty services.

[0579] Example 2

[0580] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0581] Conventional beauty treatment and beauty product generation systems make recommendations based solely on the user's biometric information, making it difficult to provide personalized recommendations that take into account the user's emotional state and stress level. This makes it difficult for users to achieve results that are fully satisfactory, making improving customer satisfaction a challenge.

[0582] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0583] In this invention, the server includes input means for inputting a user's biometric information and emotional data, generation means for generating beauty treatments and beauty products based on the biometric information and emotional data, display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, and an emotion engine for analyzing emotions by collecting data from the user's facial expressions, voice, or biosensors, thereby making it possible to comprehensively analyze the user's biometric information and emotional state and recommend optimal beauty treatments and products according to the user's individual needs and emotional state.

[0584] "Input means" refers to a device that collects biometric information and emotional data of the user and inputs it into the system.

[0585] The "generation means" is a device that performs processing to generate optimal beauty treatments and beauty products based on the collected biometric information and emotional data.

[0586] The "display means" is a device for visually showing the user the beauty treatment or beauty product recommendations generated by the generation means.

[0587] An "emotion engine" is software or a device that analyzes a user's facial expressions, voice, or biometric sensor data to identify the user's emotional state.

[0588] "Biometric information" refers to physiological data such as the user's skin condition and constitution.

[0589] "Emotion data" refers to data that indicates the user's emotional state, such as facial expressions, voice, or data collected by biometric sensors.

[0590] The "server" is a central device that processes data for the entire system and manages the beauty treatments and products generated by the generating means.

[0591] A system according to the present invention collects biometric information and emotional data of a user and generates optimal beauty treatments and beauty products based on the collected data. The system includes an input means for inputting the biometric information and emotional data of the user, a generation means for analyzing the collected data and generating appropriate suggestions, a display means for displaying the generated results to the user, and an emotion engine for analyzing the emotional data.

[0592] The system's program works as follows: when a user arrives at a salon, salon staff hand over a device (tablet or smartphone) and the user logs in. A questionnaire about skin type and constitution is displayed on the device screen. The user answers the questionnaire and enters information such as "dry skin," "no allergies," and "concerned about blackheads." These response data are then saved on the device.

[0593] Next, when the device detects that the user has completed input, the emotion engine is activated. This emotion engine uses tools such as OpenCV and Face API to collect the user's facial expressions and voice through the device's camera and microphone. The emotion engine analyzes this data and identifies the user's emotional state, such as "relaxed" or "stressed."

[0594] The collected biometric and emotional data is securely transmitted from the device to a server. The data is encrypted using SSL / TLS communication to ensure security. The server analyzes the received data and generates the optimal beauty treatments and products for the user.

[0595] The server uses a generative AI model to analyze and process the received biometric and emotional data. This generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. For example, from input data such as "dry skin," "blackened pores," and "relaxed," it can determine that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[0596] The server generates recommendations that are then sent to the device. The device receives the recommendations and displays them to the user and salon staff. Examples of recommended treatments include: "Recommended treatments include a moisturizing cream with avocado oil and a lavender-scented facial treatment." The device also allows users to view detailed descriptions and images.

[0597] Finally, the user selects the most suitable beauty treatment or product based on the information displayed on the terminal and in consultation with the salon staff. The selected treatment or product is then provided by the salon staff.

[0598] As described above, the present invention can comprehensively analyze a user's biological information and emotional state, and suggest personalized beauty treatments and products that meet the individual needs and emotions.

[0599] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0600] Step 1:

[0601] When a user visits a beauty salon, salon staff will hand over a device (tablet or smartphone). The user logs in to the device and enters information into a questionnaire that appears on the screen. The questionnaire includes items such as "skin type," "past allergic reactions," and "beauty concerns." The data entered by the user includes specific information such as "dry skin," "no allergies," and "concerned about blackheads." This input data is saved on the device.

[0602] Input: User's biological information (e.g., "dry skin," "no allergies," "concerned about blackheads")

[0603] Output: Input data is saved to the device

[0604] Step 2:

[0605] Once the user has completed entering information, the device detects this and activates the emotion engine. The emotion engine collects the user's facial expressions and voice through the device's camera and microphone. Specifically, it analyzes this data using tools such as OpenCV and Face API to identify emotions such as "relaxed" or "stressed."

[0606] Input: User's facial expression data, voice data

[0607] Output: Emotion data (e.g., "relaxed")

[0608] Step 3:

[0609] The device sends the collected biometric and emotional data to a server. The data is encrypted using SSL / TLS communication to ensure security. The server receives the data.

[0610] Input: Biometric information and emotional data (data sent from the device)

[0611] Output: The received data is saved on the server.

[0612] Step 4:

[0613] The server uses a generative AI model to analyze the received biometric and emotional data. The generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. Specifically, based on the user's input data (e.g., "dry skin," "blackened pores," and "relaxed"), it determines that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[0614] Input: Biometric and emotional data, prompts

[0615] Output: Recommended ingredients and beauty treatments (e.g., "avocado oil" or "lavender treatment")

[0616] Step 5:

[0617] The server sends the generated recommendation results to the device. The device receives the recommendation results and displays them to the user and salon staff. The displayed content includes specific suggestions such as "Recommended treatments are: moisturizing cream with avocado oil, lavender-scented facial treatment."

[0618] Input: Recommended results (data sent from the server)

[0619] Output: Suggested results are displayed on the terminal.

[0620] Step 6:

[0621] Based on the information displayed on the device, the user consults with salon staff to select the most suitable beauty treatments and products. The selected treatments and products are then provided by the salon staff. Ultimately, a personalized beauty treatment is provided that meets the user's individual needs and emotional state.

[0622] Input: Recommended results, user selection

[0623] Output: Beauty treatments performed and products provided

[0624] (Application example 2)

[0625] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0626] Conventional beauty salons only offer general beauty treatments and products tailored to the user's skin condition and constitution, making it difficult to provide optimal beauty care for each individual user.In addition, there was a lack of technology to personalize beauty treatments that took the user's emotional state into consideration, which resulted in a problem of not being able to sufficiently improve user satisfaction.

[0627] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0628] In this invention, the server includes input means for inputting biometric information of a user, emotion analysis means for analyzing emotion data from facial expressions and voice acquired by the input means, transmission means for transmitting the biometric information and emotion data to the server, generation means including a generation algorithm for generating optimal beauty treatments and beauty products based on the biometric information and emotion data, and display means for displaying the recommended beauty treatments and beauty products generated by the generation means, thereby making it possible to provide optimal beauty care individually based on the user's skin condition and emotional state.

[0629] "User's biometric information" is a general term for personal health information such as the user's skin type, allergy history, and beauty concerns.

[0630] "Input means" refers to a device or interface that a user uses to input biometric information.

[0631] "Emotion analysis means for analyzing emotional data from facial expressions and voice" refers to technology or devices that analyze a user's facial expressions and voice in real time and identify their emotional state.

[0632] "Transmission means" refers to a function or device for safely transmitting the user's biometric information and emotional data to the server.

[0633] "Generative algorithms" refer to computational methods or programs that identify optimal beauty treatments and products based on a user's biometric and emotional data.

[0634] "Display means" refers to a device or interface for communicating the generated beauty treatment or beauty product recommendations to the user or salon staff.

[0635] "Beauty treatment" is a general term for beauty care methods and processes applied to a user's skin or body.

[0636] "Beauty products" refers to products such as creams, masks, and oils that are used for cosmetic purposes.

[0637] The system according to the present invention generates and provides optimal beauty treatments and beauty products to users based on their biometric and emotional data. The system includes the following main components:

[0638] System configuration

[0639] 1. Input Method

[0640] The system collects biometric information from users using devices (smartphones or tablets). Specifically, users are asked to enter information such as skin type, allergy history, and beauty concerns into an input form. The device is assumed to be a standard smartphone or tablet.

[0641] 2. Emotion analysis method

[0642] Using the device's built-in camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. This is done using emotion analysis engines such as OpenCV and Microsoft Azure Emotion API. This analysis identifies the user's emotional state, such as whether they are relaxed or stressed.

[0643] 3. Transmission Method

[0644] This is a means for securely transmitting a user's biometric and emotional data to a server. The HTTPS protocol is used for data transmission, which protects the privacy of user data.

[0645] 4. Generation means

[0646] Based on the received biometric and emotional data, the server runs an algorithm to generate optimal beauty treatments and products. The algorithm uses machine learning frameworks such as Python, Scikit-learn, and TensorFlow. The algorithm identifies appropriate beauty care ingredients based on the user's skin condition and emotional state.

[0647] 5. Display means

[0648] The generated beauty treatment and product recommendations are displayed on the device, allowing the user and salon staff to check the suggested beauty treatments and provide appropriate treatments and products. The display is typically a tablet or smartphone screen.

[0649] Specific examples of operation procedures

[0650] 1. User interface: The user arrives at the beauty salon and uses a tablet to enter information such as their skin type, allergy history, and concerns.

[0651] 2. Emotion analysis: Using the device's built-in camera and microphone, the user's facial expressions and voice are analyzed in real time to identify their emotional state.

[0652] 3. Data Transmission: Collected data is transmitted to a server using a security protocol.

[0653] 4. Generating beauty recommendations: A generation algorithm on the server analyzes the data and generates beauty treatments and products that are best suited to the user's condition.

[0654] 5. Display suggestions: Recommended treatments are displayed to the user and salon staff.

[0655] Examples of prompt statements

[0656] "Recommend the best beauty treatments and products based on the user's skin type, allergy history, beauty concerns, and emotional data. For example, if the user has oily skin, acne, and is stressed, what treatments would you recommend?"

[0657] This system allows users at beauty salons to receive personalized beauty care and receive recommendations for optimal products and treatments, which is expected to improve user satisfaction and the reputation of the salon.

[0658] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0659] Step 1:

[0660] User Interface

[0661] Using a device (smartphone or tablet), the user inputs their own biometric information (skin type, allergy history, beauty concerns, etc.). A form-style interface is displayed as the input method, and the user answers these questions. The input data is temporarily stored on the device. Data processing involves converting the user's biometric information into structured data.

[0662] Input: User's skin type, allergy history, beauty concerns, etc.

[0663] Output: Structured user biometric data

[0664] Step 2:

[0665] Emotion analysis

[0666] The device's built-in camera and microphone are used to analyze the user's facial expressions and voice in real time to obtain emotional data. An emotion analysis engine such as OpenCV or Microsoft Azure Emotion API is used to identify the user's emotional state (e.g., relaxed, stressed) from this data. The analysis results are stored on the device. The data is then processed by the emotion analysis engine, which converts the user's voice and facial expression data into an emotional state.

[0667] Input: User facial expression video and audio data

[0668] Output: Emotion data (relaxed, stressed, etc.)

[0669] Step 3:

[0670] Data transmission

[0671] The biometric and emotional data collected on the device is securely transmitted to a server using the HTTPS protocol. End-to-end encrypted communication is used to ensure data integrity and privacy. Data processing involves encoding the data into a transmittable format.

[0672] Input: Structured data and sentiment data

[0673] Output: Notification of completion of transmission to the server

[0674] Step 4:

[0675] Generate beauty suggestions

[0676] The server runs a generation algorithm (using Python, Scikit-learn, TensorFlow, etc.) based on the received biometric and emotional data. The generation algorithm analyzes the user's data and identifies the most suitable beauty treatments and products. Specifically, the algorithm identifies beauty care ingredients based on a recommendation model that suits the user's skin type and emotional state, and uses these to generate beauty products.

[0677] Input: Biometric and emotional data sent to the server

[0678] Output: Optimal beauty treatment and product data

[0679] Step 5:

[0680] Displaying the results

[0681] The generated beauty treatment and product data is returned to the terminal, and the recommendation results are presented to the user and salon staff via a display means. The display means displays detailed beauty treatment and product information on the display of a tablet or smartphone. Specifically, the system helps the user to select the most suitable beauty care based on the displayed information.

[0682] Input: Optimal beauty treatment and product data

[0683] Output: Recommendation results displayed to the user and salon staff

[0684] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0685] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0686] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0687] [Third embodiment]

[0688] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0689] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0690] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0691] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0692] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0693] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0694] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0695] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0696] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0697] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0698] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0699] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0700] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information. This system is equipped with an input means, a generation means, and a display means, and these means work together to provide personalized beauty suggestions to customers.

[0701] Overall system operation

[0702] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. Specifically, they answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. This allows the necessary biometric information to be collected.

[0703] 2. Data transmission: The device transmits the collected biometric information to the server, which uses the generation method to analyze the received data.

[0704] Examples:

[0705] If a user enters "dry skin," "no allergies," or "concerned about blackheads," that data is sent to the server.

[0706] 3. Generation method: The server executes a generation algorithm based on the received biometric information. The generation algorithm identifies vegetable ingredients that are effective for specific skin concerns and constitutions, and generates appropriate beauty treatments and products.

[0707] Examples:

[0708] The server analyzes the input data, such as "dry skin" and "blackheads," and determines that avocado and cucumber are effective. Based on this information, it generates a moisturizing cream using avocado oil and a facial treatment using cucumber.

[0709] 4. Display means: The terminal displays the recommendation results received from the server. The user and salon staff can check the displayed recommendation results and suggest specific beauty treatments and products.

[0710] Examples:

[0711] The device will display suggestions such as "moisturizing cream using avocado oil" or "facial treatment using cucumber," allowing users to receive the optimal care on the spot.

[0712] Example

[0713] Customer B visits the beauty salon and uses the terminal to enter the following information:

[0714] Skin type: Oily skin

[0715] Past allergic reactions: None

[0716] Beauty Concern: Acne

[0717] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[0718] As described above, this system accurately acquires the user's biometric information and provides effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[0719] The processing flow will be explained below.

[0720] Step 1:

[0721] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[0722] Step 2:

[0723] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[0724] Step 3:

[0725] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[0726] Step 4:

[0727] The device sends the stored user biometric information to the server. The data is securely transmitted to the server.

[0728] Step 5:

[0729] The server receives the biometric information sent from the terminal and inputs the received data into a generation algorithm, which is a generation means.

[0730] Step 6:

[0731] The server runs a generation algorithm that analyzes biometric information to identify vegetable ingredients that are effective for the user's skin and constitution. For example, avocado and cucumber are selected as ingredients that are effective for dry skin and blackheads.

[0732] Step 7:

[0733] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[0734] Step 8:

[0735] The server sends the generated recommendations to the device in real time.

[0736] Step 9:

[0737] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[0738] Step 10:

[0739] Based on the recommendations, users can select the most suitable beauty treatments and products in consultation with salon staff, who then carry out the actual treatments and provide the products.

[0740] This allows users to receive optimal beauty care based on their individual biometric information. By having the entire system work together, more effective and personalized beauty services are provided.

[0741] Example 1

[0742] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0743] Conventional beauty treatments and beauty products are not personalized based on individual users' biometric information, but are provided using a one-size-fits-all approach. This makes it difficult to provide beauty care that is best suited to each user's specific skin condition and constitution. To solve this problem, a system is needed that can automatically generate optimal beauty treatments and beauty products based on the user's biometric information and provide beauty care that is tailored to each individual.

[0744] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0745] In this invention, the server includes an input means for inputting a user's biometric information, a means for transmitting the biometric information to the server, a generation means for executing a generation algorithm based on the biometric information received by the server to generate beauty treatments and beauty products, and a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, thereby enabling the provision of personalized beauty care based on the user's biometric information.

[0746] "Biometric information" refers to information about the user's skin condition and constitution, specifically including skin type, past allergic reactions, beauty concerns, etc.

[0747] "Input means" refers to devices and software that allow users to input biometric information, and specifically includes terminals and question forms that run on them.

[0748] "Server" refers to a computer system for analyzing received biometric information and executing a generation algorithm.

[0749] "Transmission means" refers to the function or protocol for the terminal to transmit input biometric information to the server.

[0750] "Generation algorithm" refers to an algorithm for automatically generating beauty treatments and beauty products based on a user's biometric information.

[0751] "Generation means" refers to a function or system for generating beauty treatments or beauty products using a generation algorithm.

[0752] The "display means" refers to a device or software for visually presenting the beauty treatment and beauty product recommendations generated by the generation means to users and staff.

[0753] "Generative AI Model" refers to an artificial intelligence model used to implement a generative algorithm.

[0754] "Prompt sentence" refers to the text data of biometric information that is input into the generative AI model.

[0755] The system according to the present invention aims to generate optimal beauty treatments and beauty products based on a user's biometric information. This system includes an input unit, a transmission unit, a generation unit, and a display unit, and these units work together to provide personalized beauty suggestions to the user.

[0756] Hardware and software used

[0757] 1. Hardware:

[0758] Device (tablet or smartphone)

[0759] server

[0760] 2. Software:

[0761] User interface applications (applications for terminals that display questions and results)

[0762] Data analysis software (software that runs on the server to execute the generation algorithm)

[0763] Overall system operation

[0764] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. The user answers questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. For example, the user might input "dry skin," "no allergies," and "I'm concerned about blackheads."

[0765] 2. Transmission method: The device sends the entered information to the server. The device sends the user's input data to the server via the Internet, protecting it with a security protocol (e.g., HTTPS). Specifically, when the user taps "Send," the device encodes the input data and sends it to the server.

[0766] 3. Generation method: The server inputs the received data into the generative AI model and analyzes it using a specialized generation algorithm. For example, the server inputs the prompt phrases "dry skin" and "blackheads" into the generative AI model, and the analysis results indicate that avocado and cucumber are effective. Based on this information, the server creates a prescription for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[0767] 4. Display: The device displays the recommendation results received from the server, and the user and salon staff can check the displayed recommendation results. Specifically, the device displays suggestions such as "moisturizing cream using avocado oil" and "facial treatment using cucumber," and the user can view the suggestions and choose which treatment to receive.

[0768] Specific examples of operation

[0769] For example, Customer B visits a beauty salon and uses a terminal to enter the following information:

[0770] Skin type: Oily skin

[0771] Past allergic reactions: None

[0772] Beauty Concern: Acne

[0773] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[0774] This system accurately acquires the user's biometric information and provides effective beauty suggestions, enabling personalized beauty care tailored to individual needs.

[0775] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0776] Step 1:

[0777] Entering user information

[0778] Specific operation: A user visits a beauty salon and uses a terminal to input information about their skin condition and constitution. They then answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal.

[0779] Input: Information entered by the user into the device (e.g., "dry skin," "no allergies," "concerned about blackheads")

[0780] Output: Biometric data stored on the device

[0781] Step 2:

[0782] Sending data

[0783] Specific operation: The device sends the biometric information entered by the user to the server. When the "Send" button is pressed, the device protects the data with a security protocol (such as HTTPS) and encodes it before sending it to the server.

[0784] Input: User input data (biometric data stored on the device)

[0785] Output: The transmitted biometric information arrives at the server.

[0786] Step 3:

[0787] Analysis of biological information

[0788] Specific operation: The server inputs the received biometric information into the generative AI model for analysis. Specifically, the user's biometric information (e.g., "dry skin" or "blackened pores") is input into the generative AI model as a prompt sentence, and analysis is performed using an algorithm.

[0789] Input: Biometric data arriving at the server

[0790] Output: A list of effective vegetable ingredients identified as a result of the analysis and beauty products generated (e.g., avocado oil, cucumber)

[0791] Step 4:

[0792] Beauty product creation

[0793] What it does: The server generates beauty treatments and products based on the analysis results. For example, it uses a generative AI model to create a formula for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[0794] Input: Analysis results (identified effective vegetable ingredients)

[0795] Output: Reified beauty product or treatment prescription information (e.g., avocado oil moisturizing cream formula, cucumber treatment formula)

[0796] Step 5:

[0797] Displaying the results

[0798] Specific operation: The device displays the recommendation results received from the server. The user and beauty salon staff can then review the displayed recommendation results and suggest the most suitable beauty treatments and products to the user.

[0799] Input: Recommendation results received from the server (formulated beauty product or treatment prescription information)

[0800] Output: Recommendations displayed on the device (e.g., moisturizing cream with avocado oil, facial treatment with cucumber)

[0801] Through the above steps, users can easily select and receive the most suitable beauty treatments and products based on their own biometric information.

[0802] (Application example 1)

[0803] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0804] Today's consumers are seeking personalized beauty products and treatments based on their biometric information, but the market is dominated by generic products and lacks proposals tailored to individual needs. Furthermore, the difficulty of physically trying out products limits the means for consumers to experience the effects of a product before purchasing it. This makes it difficult for consumers to find the right product for them, often resulting in low satisfaction.

[0805] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0806] In this invention, the server includes an input means for inputting a user's biometric information, a generation means for generating beauty treatments and beauty products based on the biometric information, a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, a trial means for the user to simulate the recommendation results using augmented reality technology, and a purchase means for purchasing the beauty products based on the recommendation results. This allows consumers to receive recommendations for optimal beauty products and treatments based on their own biometric information and to virtually simulate the effects of the products and treatments before purchasing them.

[0807] "User's biological information" is data that represents the characteristics and conditions of the user's individual body, such as the user's skin type, past allergic reactions, and beauty concerns.

[0808] "Input means" refers to a method or device by which a user inputs their own biometric information into a terminal, and specifically includes a question form, a touch screen, etc.

[0809] "Generator" refers to algorithms or software that identify and generate beauty treatments or beauty products based on input biometric information.

[0810] The "display means" refers to a device or method for visually displaying the beauty treatment or beauty product recommendations generated by the generation means to the user, and specifically includes a display or monitor.

[0811] "Trial means" refers to a method or device that uses augmented reality technology to allow a user to virtually try out a proposed beauty treatment or beauty product.

[0812] "Purchase means" refers to a method or system for a user to purchase suggested beauty products within the application.

[0813] "Augmented reality technology" refers to a technology that overlays digital information onto a real environment, and is used by users to visualize virtual beauty effects using smartphones, tablets, etc.

[0814] "Generation algorithm" refers to the calculation method or procedure for generating beauty treatments or beauty products based on the user's biometric information. Specifically, it includes the process of identifying optimal ingredients based on the user's skin condition and constitution.

[0815] The present invention provides a system for recommending optimal beauty treatments and beauty products based on a user's biometric information, the system including: an input means for inputting the user's biometric information; a generation means for generating beauty treatments and beauty products based on the biometric information; a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means; a trial means for allowing the user to simulate the recommendation results using augmented reality technology; and a purchase means for purchasing the beauty products based on the recommendation results.

[0816] Overall system operation

[0817] 1. Input method:

[0818] The user uses a smartphone to input their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). Specifically, they enter the information into a question form displayed on the smartphone application. This information is then sent to the server via the input means.

[0819] 2. Generation means:

[0820] The server analyzes the received biometric information and generates optimal beauty treatments and products for the user using a generative AI model, which includes algorithms that identify recommended ingredients based on the user's skin condition and constitution.

[0821] 3. Display means:

[0822] The server sends the generated recommendations to the user's smartphone and displays them visually through the application, allowing the user to check the displayed recommendations.

[0823] 4. Trial method:

[0824] Based on the recommendations displayed, users can virtually try on beauty treatments and products using their smartphone camera and augmented reality technology (such as ARKit or ARCore), allowing them to simulate the effects of the products before purchasing them.

[0825] 5. Purchasing Method:

[0826] If the user is satisfied, they can purchase the beauty product directly within the application. This purchasing method allows the user to easily obtain the recommended products.

[0827] Hardware and Software Used

[0828] Cloud servers: Use cloud platforms such as AWS (Amazon Web Services), Google Cloud, and Microsoft Azure.

[0829] Smartphones: Use iOS devices (iPhone, iPad) and Android devices (smartphones, tablets).

[0830] Generative AI models: These utilize natural language processing models such as GPT and BERT to generate beauty products and treatments based on the user's biometric information. Examples include OpenAI's GPT-4.

[0831] Augmented reality technology: AR technologies such as Apple's ARKit and Google's ARCore will be used to enable virtual try-on functionality.

[0832] Specific examples

[0833] As a concrete example, suppose a user opens an application and enters the following information:

[0834] Skin type: Dry skin

[0835] Past allergic reactions: None

[0836] Beauty concern: Blackheads

[0837] The server receives this information and analyzes it with a generative AI model. The generative algorithm determines that a moisturizing cream using avocado oil or a facial treatment using cucumber would be ideal for a user with dry skin and blackheads. Based on this information, information is sent to the smartphone, and the user can view the recommended products on a display. They can then virtually try them on using augmented reality technology to simulate the effects.

[0838] Prompt Sentence Examples

[0839] The actual prompt text to be input to the generative AI model is as follows:

[0840] "Generate optimal beauty suggestions based on user information. User details are: skin type is dry skin, no history of allergic reactions, beauty concern is blackheads."

[0841] This allows users to enjoy a more personalized beauty experience.

[0842] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0843] Step 1:

[0844] The user opens the smartphone application and inputs their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). The input information is sent to the cloud server via the input means. The input here is "dry skin" for skin type, "none" for past allergic reactions, and "black pores" for beauty concerns.

[0845] Input: User's biometric information

[0846] Output: User's biometric information sent to the cloud server

[0847] Step 2:

[0848] The server receives the biometric information and passes it to a generative AI model. The generative AI model analyzes the information and identifies recommended ingredients based on the user's skin condition and constitution. For example, if a user has dry skin and is concerned about blackheads, it might recommend avocado oil or cucumber.

[0849] Input: User's biometric information sent to the cloud server

[0850] Output: Recommended ingredients (avocado oil, cucumber) from the generative AI model

[0851] Step 3:

[0852] The server generates beauty treatment and product recommendations based on the recommended ingredients obtained from the generative AI model. For example, a moisturizing cream containing avocado oil or a facial treatment using cucumber may be recommended. The generated recommendation results are sent to a display means.

[0853] Input: Recommended ingredients by generative AI model

[0854] Output: Beauty treatment and product recommendations

[0855] Step 4:

[0856] The application displays the recommendations received from the server on the user's smartphone. The user can then review the displayed recommendations. For example, recommended products such as "moisturizing cream using avocado oil" and "facial treatment using cucumber" are displayed.

[0857] Input: Beauty treatment and product recommendations

[0858] Output: A list of recommended products displayed on a smartphone

[0859] Step 5:

[0860] Users can use their smartphone camera and augmented reality technology to virtually try on the recommended products. For example, augmented reality technology can be used to simulate the user applying a moisturizing cream containing avocado oil to their face.

[0861] Input: List of recommended products displayed on the smartphone, user's camera image

[0862] Output: Visual simulation of the virtual trial

[0863] Step 6:

[0864] Users can purchase suitable beauty products within the app based on the displayed recommendations and the results of the virtual try-on. Users follow the purchasing process and enter the necessary information to complete the payment.

[0865] Input: Visual simulation results of virtual trial, user purchase payment information

[0866] Output: Beauty products purchased

[0867] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0868] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information and emotions. This system is equipped with an input means, a generation means, a display means, and an emotion engine for recognizing emotions, and these means work together to provide personalized beauty suggestions to customers.

[0869] Overall system operation

[0870] 1. Input method: When the user arrives at the beauty salon, the salon staff hand over a device (tablet or smartphone) and the user accesses the device. A questionnaire about the user's skin type and constitution is displayed to the user. Questions include items such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" The user answers the questions and the input data is saved on the device.

[0871] Examples:

[0872] The user enters "dry skin," "no allergies," and "concerned about blackheads."

[0873] 2. Emotion engine: The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[0874] 3. Data transmission: The device transmits the collected biometric and emotion data to the server. Data transmission to the server is secure.

[0875] 4. Generation method: The server executes a generation algorithm based on the received biometric and emotional data. The generation algorithm analyzes the biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and generates appropriate beauty treatments and products.

[0876] Examples:

[0877] The server analyzes the input data, such as "dry skin," "blackheads," and "relaxed," and determines that avocado and cucumber are effective, and that a relaxing treatment using lavender is also suitable. Based on this information, it generates a moisturizing cream using avocado oil and a lavender-scented facial treatment.

[0878] 5. Display means: The terminal displays the recommendation results received from the server to the user and salon staff. The message displayed is, "Recommended treatments are: moisturizing cream using avocado oil, lavender-scented facial treatment."

[0879] 6. Evaluation and selection: Based on the recommendations, the user selects the most suitable beauty treatments and products in consultation with salon staff. The salon staff then performs the treatments and provides the products.

[0880] Example

[0881] Customer C visits the beauty salon and uses the terminal to enter the following information:

[0882] Skin type: Oily skin

[0883] Past allergic reactions: None

[0884] Beauty Concern: Acne

[0885] The emotion engine analyzes the user's facial expression and determines that the user is feeling stressed. The device then sends this information and emotional data to the server. The server then analyzes the biometric information and emotional data to identify ingredients (e.g., tomato and grapefruit) that are effective against oily skin and acne, and suggests a treatment using chamomile, which is effective in relieving stress. Based on the analysis results, a tomato-based facial mask and an aromatherapy treatment containing chamomile are generated.

[0886] The device displays these suggestions, allowing User C to learn more about each beauty treatment and receive the most appropriate care. In this way, the system accurately acquires the user's biometric information and emotions and makes effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[0887] The processing flow will be explained below.

[0888] Step 1:

[0889] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[0890] Step 2:

[0891] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[0892] Step 3:

[0893] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[0894] Step 4:

[0895] The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[0896] Step 5:

[0897] The device transmits the stored biometric information and emotion data of the user to the server. The data transmission to the server is secure.

[0898] Step 6:

[0899] The server receives the biometric information and emotion data sent from the terminal, and inputs the received data into a generation algorithm, which is a generation means.

[0900] Step 7:

[0901] The server runs a generation algorithm that analyzes biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and then generates appropriate beauty treatments and products.

[0902] Step 8:

[0903] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[0904] Step 9:

[0905] The server sends the generated recommendations to the device in real time.

[0906] Step 10:

[0907] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[0908] Step 11:

[0909] Based on the recommendations, users can consult with salon staff to select the most suitable beauty treatments and products, and the salon staff will then carry out the actual treatments and provide the products.

[0910] This allows users to receive optimal beauty care based on their individual biometric information and emotions. The entire system works together to provide more effective and personalized beauty services.

[0911] Example 2

[0912] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0913] Conventional beauty treatment and beauty product generation systems make recommendations based solely on the user's biometric information, making it difficult to provide personalized recommendations that take into account the user's emotional state and stress level. This makes it difficult for users to achieve results that are fully satisfactory, making improving customer satisfaction a challenge.

[0914] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0915] In this invention, the server includes input means for inputting a user's biometric information and emotional data, generation means for generating beauty treatments and beauty products based on the biometric information and emotional data, display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, and an emotion engine for analyzing emotions by collecting data from the user's facial expressions, voice, or biosensors, thereby making it possible to comprehensively analyze the user's biometric information and emotional state and recommend optimal beauty treatments and products according to the user's individual needs and emotional state.

[0916] "Input means" refers to a device that collects biometric information and emotional data of the user and inputs it into the system.

[0917] The "generation means" is a device that performs processing to generate optimal beauty treatments and beauty products based on the collected biometric information and emotional data.

[0918] The "display means" is a device for visually showing the user the beauty treatment or beauty product recommendations generated by the generation means.

[0919] An "emotion engine" is software or a device that analyzes a user's facial expressions, voice, or biometric sensor data to identify the user's emotional state.

[0920] "Biometric information" refers to physiological data such as the user's skin condition and constitution.

[0921] "Emotion data" refers to data that indicates the user's emotional state, such as facial expressions, voice, or data collected by biometric sensors.

[0922] The "server" is a central device that processes data for the entire system and manages the beauty treatments and products generated by the generating means.

[0923] A system according to the present invention collects biometric information and emotional data of a user and generates optimal beauty treatments and beauty products based on the collected data. The system includes an input means for inputting the biometric information and emotional data of the user, a generation means for analyzing the collected data and generating appropriate suggestions, a display means for displaying the generated results to the user, and an emotion engine for analyzing the emotional data.

[0924] The system's program works as follows: when a user arrives at a salon, salon staff hand over a device (tablet or smartphone) and the user logs in. A questionnaire about skin type and constitution is displayed on the device screen. The user answers the questionnaire and enters information such as "dry skin," "no allergies," and "concerned about blackheads." These response data are then saved on the device.

[0925] Next, when the device detects that the user has completed input, the emotion engine is activated. This emotion engine uses tools such as OpenCV and Face API to collect the user's facial expressions and voice through the device's camera and microphone. The emotion engine analyzes this data and identifies the user's emotional state, such as "relaxed" or "stressed."

[0926] The collected biometric and emotional data is securely transmitted from the device to a server. The data is encrypted using SSL / TLS communication to ensure security. The server analyzes the received data and generates the optimal beauty treatments and products for the user.

[0927] The server uses a generative AI model to analyze and process the received biometric and emotional data. This generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. For example, from input data such as "dry skin," "blackened pores," and "relaxed," it can determine that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[0928] The server generates recommendations that are then sent to the device. The device receives the recommendations and displays them to the user and salon staff. Examples of recommended treatments include: "Recommended treatments include a moisturizing cream with avocado oil and a lavender-scented facial treatment." The device also allows users to view detailed descriptions and images.

[0929] Finally, the user selects the most suitable beauty treatment or product based on the information displayed on the terminal and in consultation with the salon staff. The selected treatment or product is then provided by the salon staff.

[0930] As described above, the present invention can comprehensively analyze a user's biological information and emotional state, and suggest personalized beauty treatments and products that meet the individual needs and emotions.

[0931] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0932] Step 1:

[0933] When a user visits a beauty salon, salon staff will hand over a device (tablet or smartphone). The user logs in to the device and enters information into a questionnaire that appears on the screen. The questionnaire includes items such as "skin type," "past allergic reactions," and "beauty concerns." The data entered by the user includes specific information such as "dry skin," "no allergies," and "concerned about blackheads." This input data is saved on the device.

[0934] Input: User's biological information (e.g., "dry skin," "no allergies," "concerned about blackheads")

[0935] Output: Input data is saved to the device

[0936] Step 2:

[0937] Once the user has completed entering information, the device detects this and activates the emotion engine. The emotion engine collects the user's facial expressions and voice through the device's camera and microphone. Specifically, it analyzes this data using tools such as OpenCV and Face API to identify emotions such as "relaxed" or "stressed."

[0938] Input: User's facial expression data, voice data

[0939] Output: Emotion data (e.g., "relaxed")

[0940] Step 3:

[0941] The device sends the collected biometric and emotional data to a server. The data is encrypted using SSL / TLS communication to ensure security. The server receives the data.

[0942] Input: Biometric information and emotional data (data sent from the device)

[0943] Output: The received data is saved on the server.

[0944] Step 4:

[0945] The server uses a generative AI model to analyze the received biometric and emotional data. The generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. Specifically, based on the user's input data (e.g., "dry skin," "blackened pores," and "relaxed"), it determines that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[0946] Input: Biometric and emotional data, prompts

[0947] Output: Recommended ingredients and beauty treatments (e.g., "avocado oil" or "lavender treatment")

[0948] Step 5:

[0949] The server sends the generated recommendation results to the device. The device receives the recommendation results and displays them to the user and salon staff. The displayed content includes specific suggestions such as "Recommended treatments are: moisturizing cream with avocado oil, lavender-scented facial treatment."

[0950] Input: Recommended results (data sent from the server)

[0951] Output: Suggested results are displayed on the terminal.

[0952] Step 6:

[0953] Based on the information displayed on the device, the user consults with salon staff to select the most suitable beauty treatments and products. The selected treatments and products are then provided by the salon staff. Ultimately, a personalized beauty treatment is provided that meets the user's individual needs and emotional state.

[0954] Input: Recommended results, user selection

[0955] Output: Beauty treatments performed and products provided

[0956] (Application example 2)

[0957] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0958] Conventional beauty salons only offer general beauty treatments and products tailored to the user's skin condition and constitution, making it difficult to provide optimal beauty care for each individual user.In addition, there was a lack of technology to personalize beauty treatments that took the user's emotional state into consideration, which resulted in a problem of not being able to sufficiently improve user satisfaction.

[0959] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0960] In this invention, the server includes input means for inputting biometric information of a user, emotion analysis means for analyzing emotion data from facial expressions and voice acquired by the input means, transmission means for transmitting the biometric information and emotion data to the server, generation means including a generation algorithm for generating optimal beauty treatments and beauty products based on the biometric information and emotion data, and display means for displaying the recommended beauty treatments and beauty products generated by the generation means, thereby making it possible to provide optimal beauty care individually based on the user's skin condition and emotional state.

[0961] "User's biometric information" is a general term for personal health information such as the user's skin type, allergy history, and beauty concerns.

[0962] "Input means" refers to a device or interface that a user uses to input biometric information.

[0963] "Emotion analysis means for analyzing emotional data from facial expressions and voice" refers to technology or devices that analyze a user's facial expressions and voice in real time and identify their emotional state.

[0964] "Transmission means" refers to a function or device for safely transmitting the user's biometric information and emotional data to the server.

[0965] "Generative algorithms" refer to computational methods or programs that identify optimal beauty treatments and products based on a user's biometric and emotional data.

[0966] "Display means" refers to a device or interface for communicating the generated beauty treatment or beauty product recommendations to the user or salon staff.

[0967] "Beauty treatment" is a general term for beauty care methods and processes applied to a user's skin or body.

[0968] "Beauty products" refers to products such as creams, masks, and oils that are used for cosmetic purposes.

[0969] The system according to the present invention generates and provides optimal beauty treatments and beauty products to users based on their biometric and emotional data. The system includes the following main components:

[0970] System configuration

[0971] 1. Input Method

[0972] The system collects biometric information from users using devices (smartphones or tablets). Specifically, users are asked to enter information such as skin type, allergy history, and beauty concerns into an input form. The device is assumed to be a standard smartphone or tablet.

[0973] 2. Emotion analysis method

[0974] Using the device's built-in camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. This is done using emotion analysis engines such as OpenCV and Microsoft Azure Emotion API. This analysis identifies the user's emotional state, such as whether they are relaxed or stressed.

[0975] 3. Transmission Method

[0976] This is a means for securely transmitting a user's biometric and emotional data to a server. The HTTPS protocol is used for data transmission, which protects the privacy of user data.

[0977] 4. Generation means

[0978] Based on the received biometric and emotional data, the server runs an algorithm to generate optimal beauty treatments and products. The algorithm uses machine learning frameworks such as Python, Scikit-learn, and TensorFlow. The algorithm identifies appropriate beauty care ingredients based on the user's skin condition and emotional state.

[0979] 5. Display means

[0980] The generated beauty treatment and product recommendations are displayed on the device, allowing the user and salon staff to check the suggested beauty treatments and provide appropriate treatments and products. The display is typically a tablet or smartphone screen.

[0981] Specific examples of operation procedures

[0982] 1. User interface: The user arrives at the beauty salon and uses a tablet to enter information such as their skin type, allergy history, and concerns.

[0983] 2. Emotion analysis: Using the device's built-in camera and microphone, the user's facial expressions and voice are analyzed in real time to identify their emotional state.

[0984] 3. Data Transmission: Collected data is transmitted to a server using a security protocol.

[0985] 4. Generating beauty recommendations: A generation algorithm on the server analyzes the data and generates beauty treatments and products that are best suited to the user's condition.

[0986] 5. Display suggestions: Recommended treatments are displayed to the user and salon staff.

[0987] Examples of prompt statements

[0988] "Recommend the best beauty treatments and products based on the user's skin type, allergy history, beauty concerns, and emotional data. For example, if the user has oily skin, acne, and is stressed, what treatments would you recommend?"

[0989] This system allows users at beauty salons to receive personalized beauty care and receive recommendations for optimal products and treatments, which is expected to improve user satisfaction and the reputation of the salon.

[0990] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0991] Step 1:

[0992] User Interface

[0993] Using a device (smartphone or tablet), the user inputs their own biometric information (skin type, allergy history, beauty concerns, etc.). A form-style interface is displayed as the input method, and the user answers these questions. The input data is temporarily stored on the device. Data processing involves converting the user's biometric information into structured data.

[0994] Input: User's skin type, allergy history, beauty concerns, etc.

[0995] Output: Structured user biometric data

[0996] Step 2:

[0997] Emotion analysis

[0998] The device's built-in camera and microphone are used to analyze the user's facial expressions and voice in real time to obtain emotional data. An emotion analysis engine such as OpenCV or Microsoft Azure Emotion API is used to identify the user's emotional state (e.g., relaxed, stressed) from this data. The analysis results are stored on the device. The data is then processed by the emotion analysis engine, which converts the user's voice and facial expression data into an emotional state.

[0999] Input: User facial expression video and audio data

[1000] Output: Emotion data (relaxed, stressed, etc.)

[1001] Step 3:

[1002] Data transmission

[1003] The biometric and emotional data collected on the device is securely transmitted to a server using the HTTPS protocol. End-to-end encrypted communication is used to ensure data integrity and privacy. Data processing involves encoding the data into a transmittable format.

[1004] Input: Structured data and sentiment data

[1005] Output: Notification of completion of transmission to the server

[1006] Step 4:

[1007] Generate beauty suggestions

[1008] The server runs a generation algorithm (using Python, Scikit-learn, TensorFlow, etc.) based on the received biometric and emotional data. The generation algorithm analyzes the user's data and identifies the most suitable beauty treatments and products. Specifically, the algorithm identifies beauty care ingredients based on a recommendation model that suits the user's skin type and emotional state, and uses these to generate beauty products.

[1009] Input: Biometric and emotional data sent to the server

[1010] Output: Optimal beauty treatment and product data

[1011] Step 5:

[1012] Displaying the results

[1013] The generated beauty treatment and product data is returned to the terminal, and the recommendation results are presented to the user and salon staff via a display means. The display means displays detailed beauty treatment and product information on the display of a tablet or smartphone. Specifically, the system helps the user to select the most suitable beauty care based on the displayed information.

[1014] Input: Optimal beauty treatment and product data

[1015] Output: Recommendation results displayed to the user and salon staff

[1016] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1017] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1018] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1019] [Fourth embodiment]

[1020] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1021] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1022] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1023] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1024] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1025] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1026] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1027] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1028] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1029] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1030] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1031] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1032] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1033] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information. This system is equipped with an input means, a generation means, and a display means, and these means work together to provide personalized beauty suggestions to customers.

[1034] Overall system operation

[1035] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. Specifically, they answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. This allows the necessary biometric information to be collected.

[1036] 2. Data transmission: The device transmits the collected biometric information to the server, which uses the generation method to analyze the received data.

[1037] Examples:

[1038] If a user enters "dry skin," "no allergies," or "concerned about blackheads," that data is sent to the server.

[1039] 3. Generation method: The server executes a generation algorithm based on the received biometric information. The generation algorithm identifies vegetable ingredients that are effective for specific skin concerns and constitutions, and generates appropriate beauty treatments and products.

[1040] Examples:

[1041] The server analyzes the input data, such as "dry skin" and "blackheads," and determines that avocado and cucumber are effective. Based on this information, it generates a moisturizing cream using avocado oil and a facial treatment using cucumber.

[1042] 4. Display means: The terminal displays the recommendation results received from the server. The user and salon staff can check the displayed recommendation results and suggest specific beauty treatments and products.

[1043] Examples:

[1044] The device will display suggestions such as "moisturizing cream using avocado oil" or "facial treatment using cucumber," allowing users to receive the optimal care on the spot.

[1045] Example

[1046] Customer B visits the beauty salon and uses the terminal to enter the following information:

[1047] Skin type: Oily skin

[1048] Past allergic reactions: None

[1049] Beauty Concern: Acne

[1050] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[1051] As described above, this system accurately acquires the user's biometric information and provides effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[1052] The processing flow will be explained below.

[1053] Step 1:

[1054] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[1055] Step 2:

[1056] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[1057] Step 3:

[1058] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[1059] Step 4:

[1060] The device sends the stored user biometric information to the server. The data is securely transmitted to the server.

[1061] Step 5:

[1062] The server receives the biometric information sent from the terminal and inputs the received data into a generation algorithm, which is a generation means.

[1063] Step 6:

[1064] The server runs a generation algorithm that analyzes biometric information to identify vegetable ingredients that are effective for the user's skin and constitution. For example, avocado and cucumber are selected as ingredients that are effective for dry skin and blackheads.

[1065] Step 7:

[1066] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[1067] Step 8:

[1068] The server sends the generated recommendations to the device in real time.

[1069] Step 9:

[1070] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[1071] Step 10:

[1072] Based on the recommendations, users can select the most suitable beauty treatments and products in consultation with salon staff, who then carry out the actual treatments and provide the products.

[1073] This allows users to receive optimal beauty care based on their individual biometric information. By having the entire system work together, more effective and personalized beauty services are provided.

[1074] Example 1

[1075] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1076] Conventional beauty treatments and beauty products are not personalized based on individual users' biometric information, but are provided using a one-size-fits-all approach. This makes it difficult to provide beauty care that is best suited to each user's specific skin condition and constitution. To solve this problem, a system is needed that can automatically generate optimal beauty treatments and beauty products based on the user's biometric information and provide beauty care that is tailored to each individual.

[1077] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1078] In this invention, the server includes an input means for inputting a user's biometric information, a means for transmitting the biometric information to the server, a generation means for executing a generation algorithm based on the biometric information received by the server to generate beauty treatments and beauty products, and a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, thereby enabling the provision of personalized beauty care based on the user's biometric information.

[1079] "Biometric information" refers to information about the user's skin condition and constitution, specifically including skin type, past allergic reactions, beauty concerns, etc.

[1080] "Input means" refers to devices and software that allow users to input biometric information, and specifically includes terminals and question forms that run on them.

[1081] "Server" refers to a computer system for analyzing received biometric information and executing a generation algorithm.

[1082] "Transmission means" refers to the function or protocol for the terminal to transmit input biometric information to the server.

[1083] "Generation algorithm" refers to an algorithm for automatically generating beauty treatments and beauty products based on a user's biometric information.

[1084] "Generation means" refers to a function or system for generating beauty treatments or beauty products using a generation algorithm.

[1085] The "display means" refers to a device or software for visually presenting the beauty treatment and beauty product recommendations generated by the generation means to users and staff.

[1086] "Generative AI Model" refers to an artificial intelligence model used to implement a generative algorithm.

[1087] "Prompt sentence" refers to the text data of biometric information that is input into the generative AI model.

[1088] The system according to the present invention aims to generate optimal beauty treatments and beauty products based on a user's biometric information. This system includes an input unit, a transmission unit, a generation unit, and a display unit, and these units work together to provide personalized beauty suggestions to the user.

[1089] Hardware and software used

[1090] 1. Hardware:

[1091] Device (tablet or smartphone)

[1092] server

[1093] 2. Software:

[1094] User interface applications (applications for terminals that display questions and results)

[1095] Data analysis software (software that runs on the server to execute the generation algorithm)

[1096] Overall system operation

[1097] 1. Input method: When a user visits a beauty salon, they use a terminal to input information about their skin condition and constitution. The user answers questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal. For example, the user might input "dry skin," "no allergies," and "I'm concerned about blackheads."

[1098] 2. Transmission method: The device sends the entered information to the server. The device sends the user's input data to the server via the Internet, protecting it with a security protocol (e.g., HTTPS). Specifically, when the user taps "Send," the device encodes the input data and sends it to the server.

[1099] 3. Generation method: The server inputs the received data into the generative AI model and analyzes it using a specialized generation algorithm. For example, the server inputs the prompt phrases "dry skin" and "blackheads" into the generative AI model, and the analysis results indicate that avocado and cucumber are effective. Based on this information, the server creates a prescription for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[1100] 4. Display: The device displays the recommendation results received from the server, and the user and salon staff can check the displayed recommendation results. Specifically, the device displays suggestions such as "moisturizing cream using avocado oil" and "facial treatment using cucumber," and the user can view the suggestions and choose which treatment to receive.

[1101] Specific examples of operation

[1102] For example, Customer B visits a beauty salon and uses a terminal to enter the following information:

[1103] Skin type: Oily skin

[1104] Past allergic reactions: None

[1105] Beauty Concern: Acne

[1106] The device then sends this information to a server, which analyzes the biometric information and efficiently executes a generation algorithm. The generation algorithm identifies vegetable ingredients (e.g., tomatoes and grapefruit) that are effective against oily skin and acne. Based on this, the server recommends a tomato facial mask or a grapefruit extract toner lotion. The device displays these results, allowing Customer B to learn more about each beauty treatment.

[1107] This system accurately acquires the user's biometric information and provides effective beauty suggestions, enabling personalized beauty care tailored to individual needs.

[1108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1109] Step 1:

[1110] Entering user information

[1111] Specific operation: A user visits a beauty salon and uses a terminal to input information about their skin condition and constitution. They then answer questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" in a questionnaire displayed on the terminal.

[1112] Input: Information entered by the user into the device (e.g., "dry skin," "no allergies," "concerned about blackheads")

[1113] Output: Biometric data stored on the device

[1114] Step 2:

[1115] Sending data

[1116] Specific operation: The device sends the biometric information entered by the user to the server. When the "Send" button is pressed, the device protects the data with a security protocol (such as HTTPS) and encodes it before sending it to the server.

[1117] Input: User input data (biometric data stored on the device)

[1118] Output: The transmitted biometric information arrives at the server.

[1119] Step 3:

[1120] Analysis of biological information

[1121] Specific operation: The server inputs the received biometric information into the generative AI model for analysis. Specifically, the user's biometric information (e.g., "dry skin" or "blackened pores") is input into the generative AI model as a prompt sentence, and analysis is performed using an algorithm.

[1122] Input: Biometric data arriving at the server

[1123] Output: A list of effective vegetable ingredients identified as a result of the analysis and beauty products generated (e.g., avocado oil, cucumber)

[1124] Step 4:

[1125] Beauty product creation

[1126] What it does: The server generates beauty treatments and products based on the analysis results. For example, it uses a generative AI model to create a formula for a moisturizing cream using avocado oil or a facial treatment using cucumber.

[1127] Input: Analysis results (identified effective vegetable ingredients)

[1128] Output: Reified beauty product or treatment prescription information (e.g., avocado oil moisturizing cream formula, cucumber treatment formula)

[1129] Step 5:

[1130] Displaying the results

[1131] Specific operation: The device displays the recommendation results received from the server. The user and beauty salon staff can then review the displayed recommendation results and suggest the most suitable beauty treatments and products to the user.

[1132] Input: Recommendation results received from the server (formulated beauty product or treatment prescription information)

[1133] Output: Recommendations displayed on the device (e.g., moisturizing cream with avocado oil, facial treatment with cucumber)

[1134] Through the above steps, users can easily select and receive the most suitable beauty treatments and products based on their own biometric information.

[1135] (Application example 1)

[1136] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1137] Today's consumers are seeking personalized beauty products and treatments based on their biometric information, but the market is dominated by generic products and lacks proposals tailored to individual needs. Furthermore, the difficulty of physically trying out products limits the means for consumers to experience the effects of a product before purchasing it. This makes it difficult for consumers to find the right product for them, often resulting in low satisfaction.

[1138] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1139] In this invention, the server includes an input means for inputting a user's biometric information, a generation means for generating beauty treatments and beauty products based on the biometric information, a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, a trial means for the user to simulate the recommendation results using augmented reality technology, and a purchase means for purchasing the beauty products based on the recommendation results. This allows consumers to receive recommendations for optimal beauty products and treatments based on their own biometric information and to virtually simulate the effects of the products and treatments before purchasing them.

[1140] "User's biological information" is data that represents the characteristics and conditions of the user's individual body, such as the user's skin type, past allergic reactions, and beauty concerns.

[1141] "Input means" refers to a method or device by which a user inputs their own biometric information into a terminal, and specifically includes a question form, a touch screen, etc.

[1142] "Generator" refers to algorithms or software that identify and generate beauty treatments or beauty products based on input biometric information.

[1143] The "display means" refers to a device or method for visually displaying the beauty treatment or beauty product recommendations generated by the generation means to the user, and specifically includes a display or monitor.

[1144] "Trial means" refers to a method or device that uses augmented reality technology to allow a user to virtually try out a proposed beauty treatment or beauty product.

[1145] "Purchase means" refers to a method or system for a user to purchase suggested beauty products within the application.

[1146] "Augmented reality technology" refers to a technology that overlays digital information onto a real environment, and is used by users to visualize virtual beauty effects using smartphones, tablets, etc.

[1147] "Generation algorithm" refers to the calculation method or procedure for generating beauty treatments or beauty products based on the user's biometric information. Specifically, it includes the process of identifying optimal ingredients based on the user's skin condition and constitution.

[1148] The present invention provides a system for recommending optimal beauty treatments and beauty products based on a user's biometric information, the system including: an input means for inputting the user's biometric information; a generation means for generating beauty treatments and beauty products based on the biometric information; a display means for displaying the beauty treatment and beauty product recommendations generated by the generation means; a trial means for allowing the user to simulate the recommendation results using augmented reality technology; and a purchase means for purchasing the beauty products based on the recommendation results.

[1149] Overall system operation

[1150] 1. Input method:

[1151] The user uses a smartphone to input their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). Specifically, they enter the information into a question form displayed on the smartphone application. This information is then sent to the server via the input means.

[1152] 2. Generation means:

[1153] The server analyzes the received biometric information and generates optimal beauty treatments and products for the user using a generative AI model, which includes algorithms that identify recommended ingredients based on the user's skin condition and constitution.

[1154] 3. Display means:

[1155] The server sends the generated recommendations to the user's smartphone and displays them visually through the application, allowing the user to check the displayed recommendations.

[1156] 4. Trial method:

[1157] Based on the recommendations displayed, users can virtually try on beauty treatments and products using their smartphone camera and augmented reality technology (such as ARKit or ARCore), allowing them to simulate the effects of the products before purchasing them.

[1158] 5. Purchasing Method:

[1159] If the user is satisfied, they can purchase the beauty product directly within the application. This purchasing method allows the user to easily obtain the recommended products.

[1160] Hardware and Software Used

[1161] Cloud servers: Use cloud platforms such as AWS (Amazon Web Services), Google Cloud, and Microsoft Azure.

[1162] Smartphones: Use iOS devices (iPhone, iPad) and Android devices (smartphones, tablets).

[1163] Generative AI models: These utilize natural language processing models such as GPT and BERT to generate beauty products and treatments based on the user's biometric information. Examples include OpenAI's GPT-4.

[1164] Augmented reality technology: AR technologies such as Apple's ARKit and Google's ARCore will be used to enable virtual try-on functionality.

[1165] Specific examples

[1166] As a concrete example, suppose a user opens an application and enters the following information:

[1167] Skin type: Dry skin

[1168] Past allergic reactions: None

[1169] Beauty concern: Blackheads

[1170] The server receives this information and analyzes it with a generative AI model. The generative algorithm determines that a moisturizing cream using avocado oil or a facial treatment using cucumber would be ideal for a user with dry skin and blackheads. Based on this information, information is sent to the smartphone, and the user can view the recommended products on a display. They can then virtually try them on using augmented reality technology to simulate the effects.

[1171] Prompt Sentence Examples

[1172] The actual prompt text to be input to the generative AI model is as follows:

[1173] "Generate optimal beauty suggestions based on user information. User details are: skin type is dry skin, no history of allergic reactions, beauty concern is blackheads."

[1174] This allows users to enjoy a more personalized beauty experience.

[1175] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1176] Step 1:

[1177] The user opens the smartphone application and inputs their own biometric information (skin type, past allergic reactions, beauty concerns, etc.). The input information is sent to the cloud server via the input means. The input here is "dry skin" for skin type, "none" for past allergic reactions, and "black pores" for beauty concerns.

[1178] Input: User's biometric information

[1179] Output: User's biometric information sent to the cloud server

[1180] Step 2:

[1181] The server receives the biometric information and passes it to a generative AI model. The generative AI model analyzes the information and identifies recommended ingredients based on the user's skin condition and constitution. For example, if a user has dry skin and is concerned about blackheads, it might recommend avocado oil or cucumber.

[1182] Input: User's biometric information sent to the cloud server

[1183] Output: Recommended ingredients (avocado oil, cucumber) from the generative AI model

[1184] Step 3:

[1185] The server generates beauty treatment and product recommendations based on the recommended ingredients obtained from the generative AI model. For example, a moisturizing cream containing avocado oil or a facial treatment using cucumber may be recommended. The generated recommendation results are sent to a display means.

[1186] Input: Recommended ingredients by generative AI model

[1187] Output: Beauty treatment and product recommendations

[1188] Step 4:

[1189] The application displays the recommendations received from the server on the user's smartphone. The user can then review the displayed recommendations. For example, recommended products such as "moisturizing cream using avocado oil" and "facial treatment using cucumber" are displayed.

[1190] Input: Beauty treatment and product recommendations

[1191] Output: A list of recommended products displayed on a smartphone

[1192] Step 5:

[1193] Users can use their smartphone camera and augmented reality technology to virtually try on the recommended products. For example, augmented reality technology can be used to simulate the user applying a moisturizing cream containing avocado oil to their face.

[1194] Input: List of recommended products displayed on the smartphone, user's camera image

[1195] Output: Visual simulation of the virtual trial

[1196] Step 6:

[1197] Users can purchase suitable beauty products within the app based on the displayed recommendations and the results of the virtual try-on. Users follow the purchasing process and enter the necessary information to complete the payment.

[1198] Input: Visual simulation results of virtual trial, user purchase payment information

[1199] Output: Beauty products purchased

[1200] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1201] The system based on the present invention aims to generate optimal beauty treatments and beauty products based on the user's biometric information and emotions. This system is equipped with an input means, a generation means, a display means, and an emotion engine for recognizing emotions, and these means work together to provide personalized beauty suggestions to customers.

[1202] Overall system operation

[1203] 1. Input method: When the user arrives at the beauty salon, the salon staff hand over a device (tablet or smartphone) and the user accesses the device. A questionnaire about the user's skin type and constitution is displayed to the user. Questions include items such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?" The user answers the questions and the input data is saved on the device.

[1204] Examples:

[1205] The user enters "dry skin," "no allergies," and "concerned about blackheads."

[1206] 2. Emotion engine: The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[1207] 3. Data transmission: The device transmits the collected biometric and emotion data to the server. Data transmission to the server is secure.

[1208] 4. Generation method: The server executes a generation algorithm based on the received biometric and emotional data. The generation algorithm analyzes the biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and generates appropriate beauty treatments and products.

[1209] Examples:

[1210] The server analyzes the input data, such as "dry skin," "blackheads," and "relaxed," and determines that avocado and cucumber are effective, and that a relaxing treatment using lavender is also suitable. Based on this information, it generates a moisturizing cream using avocado oil and a lavender-scented facial treatment.

[1211] 5. Display means: The terminal displays the recommendation results received from the server to the user and salon staff. The message displayed is, "Recommended treatments are: moisturizing cream using avocado oil, lavender-scented facial treatment."

[1212] 6. Evaluation and selection: Based on the recommendations, the user selects the most suitable beauty treatments and products in consultation with salon staff. The salon staff then performs the treatments and provides the products.

[1213] Example

[1214] Customer C visits the beauty salon and uses the terminal to enter the following information:

[1215] Skin type: Oily skin

[1216] Past allergic reactions: None

[1217] Beauty Concern: Acne

[1218] The emotion engine analyzes the user's facial expression and determines that the user is feeling stressed. The device then sends this information and emotional data to the server. The server then analyzes the biometric information and emotional data to identify ingredients (e.g., tomato and grapefruit) that are effective against oily skin and acne, and suggests a treatment using chamomile, which is effective in relieving stress. Based on the analysis results, a tomato-based facial mask and an aromatherapy treatment containing chamomile are generated.

[1219] The device displays these suggestions, allowing User C to learn more about each beauty treatment and receive the most appropriate care. In this way, the system accurately acquires the user's biometric information and emotions and makes effective beauty suggestions, thereby realizing personalized beauty care that meets individual needs.

[1220] The processing flow will be explained below.

[1221] Step 1:

[1222] The user arrives at the beauty salon. The salon staff hands over the device (tablet or smartphone) and the user accesses the device.

[1223] Step 2:

[1224] The device displays a questionnaire to the user about their skin type and constitution, including questions such as "What is your skin type?", "Have you ever had an allergic reaction?", and "What are your beauty concerns?"

[1225] Step 3:

[1226] The user answers the questionnaire and the input data is saved on the device. For example, the user might enter "dry skin," "no allergies," and "concerned about blackheads."

[1227] Step 4:

[1228] The emotion engine works by analyzing the user's facial expressions, voice, or biometric sensor data to identify the user's emotions. For example, emotions such as "relaxed" from facial expressions and "stressed" from voice can be identified.

[1229] Step 5:

[1230] The device transmits the stored biometric information and emotion data of the user to the server. The data transmission to the server is secure.

[1231] Step 6:

[1232] The server receives the biometric information and emotion data sent from the terminal, and inputs the received data into a generation algorithm, which is a generation means.

[1233] Step 7:

[1234] The server runs a generation algorithm that analyzes biometric and emotional data to identify vegetable ingredients that are effective for the user's skin, constitution, and current emotions, and then generates appropriate beauty treatments and products.

[1235] Step 8:

[1236] The server generates recommendations for beauty treatments and products based on the analysis, such as a moisturizing cream with avocado oil or a facial treatment using cucumber.

[1237] Step 9:

[1238] The server sends the generated recommendations to the device in real time.

[1239] Step 10:

[1240] The device displays the recommendation results received from the server to the user and salon staff, displaying the message "Recommended treatments are: moisturizing cream using avocado oil, facial treatment using cucumber."

[1241] Step 11:

[1242] Based on the recommendations, users can consult with salon staff to select the most suitable beauty treatments and products, and the salon staff will then carry out the actual treatments and provide the products.

[1243] This allows users to receive optimal beauty care based on their individual biometric information and emotions. The entire system works together to provide more effective and personalized beauty services.

[1244] Example 2

[1245] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1246] Conventional beauty treatment and beauty product generation systems make recommendations based solely on the user's biometric information, making it difficult to provide personalized recommendations that take into account the user's emotional state and stress level. This makes it difficult for users to achieve results that are fully satisfactory, making improving customer satisfaction a challenge.

[1247] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1248] In this invention, the server includes input means for inputting a user's biometric information and emotional data, generation means for generating beauty treatments and beauty products based on the biometric information and emotional data, display means for displaying the beauty treatment and beauty product recommendations generated by the generation means, and an emotion engine for analyzing emotions by collecting data from the user's facial expressions, voice, or biosensors, thereby making it possible to comprehensively analyze the user's biometric information and emotional state and recommend optimal beauty treatments and products according to the user's individual needs and emotional state.

[1249] "Input means" refers to a device that collects biometric information and emotional data of the user and inputs it into the system.

[1250] The "generation means" is a device that performs processing to generate optimal beauty treatments and beauty products based on the collected biometric information and emotional data.

[1251] The "display means" is a device for visually showing the user the beauty treatment or beauty product recommendations generated by the generation means.

[1252] An "emotion engine" is software or a device that analyzes a user's facial expressions, voice, or biometric sensor data to identify the user's emotional state.

[1253] "Biometric information" refers to physiological data such as the user's skin condition and constitution.

[1254] "Emotion data" refers to data that indicates the user's emotional state, such as facial expressions, voice, or data collected by biometric sensors.

[1255] The "server" is a central device that processes data for the entire system and manages the beauty treatments and products generated by the generating means.

[1256] A system according to the present invention collects biometric information and emotional data of a user and generates optimal beauty treatments and beauty products based on the collected data. The system includes an input means for inputting the biometric information and emotional data of the user, a generation means for analyzing the collected data and generating appropriate suggestions, a display means for displaying the generated results to the user, and an emotion engine for analyzing the emotional data.

[1257] The system's program works as follows: when a user arrives at a salon, salon staff hand over a device (tablet or smartphone) and the user logs in. A questionnaire about skin type and constitution is displayed on the device screen. The user answers the questionnaire and enters information such as "dry skin," "no allergies," and "concerned about blackheads." These response data are then saved on the device.

[1258] Next, when the device detects that the user has completed input, the emotion engine is activated. This emotion engine uses tools such as OpenCV and Face API to collect the user's facial expressions and voice through the device's camera and microphone. The emotion engine analyzes this data and identifies the user's emotional state, such as "relaxed" or "stressed."

[1259] The collected biometric and emotional data is securely transmitted from the device to a server. The data is encrypted using SSL / TLS communication to ensure security. The server analyzes the received data and generates the optimal beauty treatments and products for the user.

[1260] The server uses a generative AI model to analyze and process the received biometric and emotional data. This generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. For example, from input data such as "dry skin," "blackened pores," and "relaxed," it can determine that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[1261] The server generates recommendations that are then sent to the device. The device receives the recommendations and displays them to the user and salon staff. Examples of recommended treatments include: "Recommended treatments include a moisturizing cream with avocado oil and a lavender-scented facial treatment." The device also allows users to view detailed descriptions and images.

[1262] Finally, the user selects the most suitable beauty treatment or product based on the information displayed on the terminal and in consultation with the salon staff. The selected treatment or product is then provided by the salon staff.

[1263] As described above, the present invention can comprehensively analyze a user's biological information and emotional state, and suggest personalized beauty treatments and products that meet the individual needs and emotions.

[1264] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1265] Step 1:

[1266] When a user visits a beauty salon, salon staff will hand over a device (tablet or smartphone). The user logs in to the device and enters information into a questionnaire that appears on the screen. The questionnaire includes items such as "skin type," "past allergic reactions," and "beauty concerns." The data entered by the user includes specific information such as "dry skin," "no allergies," and "concerned about blackheads." This input data is saved on the device.

[1267] Input: User's biological information (e.g., "dry skin," "no allergies," "concerned about blackheads")

[1268] Output: Input data is saved to the device

[1269] Step 2:

[1270] Once the user has completed entering information, the device detects this and activates the emotion engine. The emotion engine collects the user's facial expressions and voice through the device's camera and microphone. Specifically, it analyzes this data using tools such as OpenCV and Face API to identify emotions such as "relaxed" or "stressed."

[1271] Input: User's facial expression data, voice data

[1272] Output: Emotion data (e.g., "relaxed")

[1273] Step 3:

[1274] The device sends the collected biometric and emotional data to a server. The data is encrypted using SSL / TLS communication to ensure security. The server receives the data.

[1275] Input: Biometric information and emotional data (data sent from the device)

[1276] Output: The received data is saved on the server.

[1277] Step 4:

[1278] The server uses a generative AI model to analyze the received biometric and emotional data. The generative AI model identifies appropriate ingredients based on the user's skin condition, constitution, and emotional state. Specifically, based on the user's input data (e.g., "dry skin," "blackened pores," and "relaxed"), it determines that avocado oil is effective for dry skin and lavender is effective for relaxation. An example of a prompt for the generative AI model is, "Please name beauty ingredients that are effective for oily skin and acne. Also, please suggest ones that are effective for stress relief."

[1279] Input: Biometric and emotional data, prompts

[1280] Output: Recommended ingredients and beauty treatments (e.g., "avocado oil" or "lavender treatment")

[1281] Step 5:

[1282] The server sends the generated recommendation results to the device. The device receives the recommendation results and displays them to the user and salon staff. The displayed content includes specific suggestions such as "Recommended treatments are: moisturizing cream with avocado oil, lavender-scented facial treatment."

[1283] Input: Recommended results (data sent from the server)

[1284] Output: Suggested results are displayed on the terminal.

[1285] Step 6:

[1286] Based on the information displayed on the device, the user consults with salon staff to select the most suitable beauty treatments and products. The selected treatments and products are then provided by the salon staff. Ultimately, a personalized beauty treatment is provided that meets the user's individual needs and emotional state.

[1287] Input: Recommended results, user selection

[1288] Output: Beauty treatments performed and products provided

[1289] (Application example 2)

[1290] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1291] Conventional beauty salons only offer general beauty treatments and products tailored to the user's skin condition and constitution, making it difficult to provide optimal beauty care for each individual user.In addition, there was a lack of technology to personalize beauty treatments that took the user's emotional state into consideration, which resulted in a problem of not being able to sufficiently improve user satisfaction.

[1292] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1293] In this invention, the server includes input means for inputting biometric information of a user, emotion analysis means for analyzing emotion data from facial expressions and voice acquired by the input means, transmission means for transmitting the biometric information and emotion data to the server, generation means including a generation algorithm for generating optimal beauty treatments and beauty products based on the biometric information and emotion data, and display means for displaying the recommended beauty treatments and beauty products generated by the generation means, thereby making it possible to provide optimal beauty care individually based on the user's skin condition and emotional state.

[1294] "User's biometric information" is a general term for personal health information such as the user's skin type, allergy history, and beauty concerns.

[1295] "Input means" refers to a device or interface that a user uses to input biometric information.

[1296] "Emotion analysis means for analyzing emotional data from facial expressions and voice" refers to technology or devices that analyze a user's facial expressions and voice in real time and identify their emotional state.

[1297] "Transmission means" refers to a function or device for safely transmitting the user's biometric information and emotional data to the server.

[1298] "Generative algorithms" refer to computational methods or programs that identify optimal beauty treatments and products based on a user's biometric and emotional data.

[1299] "Display means" refers to a device or interface for communicating the generated beauty treatment or beauty product recommendations to the user or salon staff.

[1300] "Beauty treatment" is a general term for beauty care methods and processes applied to a user's skin or body.

[1301] "Beauty products" refers to products such as creams, masks, and oils that are used for cosmetic purposes.

[1302] The system according to the present invention generates and provides optimal beauty treatments and beauty products to users based on their biometric and emotional data. The system includes the following main components:

[1303] System configuration

[1304] 1. Input Method

[1305] The system collects biometric information from users using devices (smartphones or tablets). Specifically, users are asked to enter information such as skin type, allergy history, and beauty concerns into an input form. The device is assumed to be a standard smartphone or tablet.

[1306] 2. Emotion analysis method

[1307] Using the device's built-in camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. This is done using emotion analysis engines such as OpenCV and Microsoft Azure Emotion API. This analysis identifies the user's emotional state, such as whether they are relaxed or stressed.

[1308] 3. Transmission Method

[1309] This is a means for securely transmitting a user's biometric and emotional data to a server. The HTTPS protocol is used for data transmission, which protects the privacy of user data.

[1310] 4. Generation means

[1311] Based on the received biometric and emotional data, the server runs an algorithm to generate optimal beauty treatments and products. The algorithm uses machine learning frameworks such as Python, Scikit-learn, and TensorFlow. The algorithm identifies appropriate beauty care ingredients based on the user's skin condition and emotional state.

[1312] 5. Display means

[1313] The generated beauty treatment and product recommendations are displayed on the device, allowing the user and salon staff to check the suggested beauty treatments and provide appropriate treatments and products. The display is typically a tablet or smartphone screen.

[1314] Specific examples of operation procedures

[1315] 1. User interface: The user arrives at the beauty salon and uses a tablet to enter information such as their skin type, allergy history, and concerns.

[1316] 2. Emotion analysis: Using the device's built-in camera and microphone, the user's facial expressions and voice are analyzed in real time to identify their emotional state.

[1317] 3. Data Transmission: Collected data is transmitted to a server using a security protocol.

[1318] 4. Generating beauty recommendations: A generation algorithm on the server analyzes the data and generates beauty treatments and products that are best suited to the user's condition.

[1319] 5. Display suggestions: Recommended treatments are displayed to the user and salon staff.

[1320] Examples of prompt statements

[1321] "Recommend the best beauty treatments and products based on the user's skin type, allergy history, beauty concerns, and emotional data. For example, if the user has oily skin, acne, and is stressed, what treatments would you recommend?"

[1322] This system allows users at beauty salons to receive personalized beauty care and receive recommendations for optimal products and treatments, which is expected to improve user satisfaction and the reputation of the salon.

[1323] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1324] Step 1:

[1325] User Interface

[1326] Using a device (smartphone or tablet), the user inputs their own biometric information (skin type, allergy history, beauty concerns, etc.). A form-style interface is displayed as the input method, and the user answers these questions. The input data is temporarily stored on the device. Data processing involves converting the user's biometric information into structured data.

[1327] Input: User's skin type, allergy history, beauty concerns, etc.

[1328] Output: Structured user biometric data

[1329] Step 2:

[1330] Emotion analysis

[1331] The device's built-in camera and microphone are used to analyze the user's facial expressions and voice in real time to obtain emotional data. An emotion analysis engine such as OpenCV or Microsoft Azure Emotion API is used to identify the user's emotional state (e.g., relaxed, stressed) from this data. The analysis results are stored on the device. The data is then processed by the emotion analysis engine, which converts the user's voice and facial expression data into an emotional state.

[1332] Input: User facial expression video and audio data

[1333] Output: Emotion data (relaxed, stressed, etc.)

[1334] Step 3:

[1335] Data transmission

[1336] The biometric and emotional data collected on the device is securely transmitted to a server using the HTTPS protocol. End-to-end encrypted communication is used to ensure data integrity and privacy. Data processing involves encoding the data into a transmittable format.

[1337] Input: Structured data and sentiment data

[1338] Output: Notification of completion of transmission to the server

[1339] Step 4:

[1340] Generate beauty suggestions

[1341] The server runs a generation algorithm (using Python, Scikit-learn, TensorFlow, etc.) based on the received biometric and emotional data. The generation algorithm analyzes the user's data and identifies the most suitable beauty treatments and products. Specifically, the algorithm identifies beauty care ingredients based on a recommendation model that suits the user's skin type and emotional state, and uses these to generate beauty products.

[1342] Input: Biometric and emotional data sent to the server

[1343] Output: Optimal beauty treatment and product data

[1344] Step 5:

[1345] Displaying the results

[1346] The generated beauty treatment and product data is returned to the terminal, and the recommendation results are presented to the user and salon staff via a display means. The display means displays detailed beauty treatment and product information on the display of a tablet or smartphone. Specifically, the system helps the user to select the most suitable beauty care based on the displayed information.

[1347] Input: Optimal beauty treatment and product data

[1348] Output: Recommendation results displayed to the user and salon staff

[1349] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1350] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1351] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1352] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1353] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1354] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1355] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1356] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1357] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1358] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1359] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1360] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1361] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1362] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1363] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1364] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1365] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1366] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1367] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1368] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1369] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1370] The following is further disclosed regarding the above embodiment.

[1371] (Claim 1)

[1372] an input means for inputting biometric information of a user;

[1373] a generating means for generating beauty treatments and beauty products based on the biometric information;

[1374] a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means;

[1375] A system including:

[1376] (Claim 2)

[1377] 2. The system according to claim 1, wherein the input means is means for transmitting biometric information of the user to a server.

[1378] (Claim 3)

[1379] 10. The system of claim 1, wherein the generating means includes a generating algorithm that identifies recommended vegetable ingredients based on the user's skin condition and constitution.

[1380] "Example 1"

[1381] (Claim 1)

[1382] an input means for inputting biometric information of a user;

[1383] means for transmitting the biometric information to a server;

[1384] a generating means for executing a generating algorithm based on the biometric information received by the server to generate beauty treatments and beauty products;

[1385] a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means;

[1386] A system including:

[1387] (Claim 2)

[1388] 10. The system of claim 1, wherein the generative algorithm includes a generative AI model that identifies recommended vegetable ingredients based on a user's skin condition and constitution.

[1389] (Claim 3)

[1390] 2. The system according to claim 1, wherein the display means is a means for visually presenting the recommendation results generated by the generation means to users and staff.

[1391] "Application Example 1"

[1392] (Claim 1)

[1393] an input means for inputting biometric information of a user;

[1394] a generating means for generating beauty treatments and beauty products based on the biometric information;

[1395] a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means;

[1396] A trial means for allowing a user to simulate the recommendation result using augmented reality technology;

[1397] a purchasing means for purchasing beauty products based on the recommendation results;

[1398] A system including:

[1399] (Claim 2)

[1400] 2. The system according to claim 1, wherein the input means is means for transmitting biometric information of the user to a server.

[1401] (Claim 3)

[1402] 10. The system of claim 1, wherein the generating means includes a generating algorithm that identifies recommended ingredients based on the user's skin condition and constitution.

[1403] "Example 2: Combining Emotion Engines"

[1404] (Claim 1)

[1405] an input means for inputting biometric information and emotion data of a user;

[1406] a generating means for generating beauty treatments and beauty products based on the biometric information and emotion data;

[1407] a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means;

[1408] an emotion engine that analyzes emotions by collecting data from the user's facial expressions, voice, or biometric sensors;

[1409] A system including:

[1410] (Claim 2)

[1411] 2. The system according to claim 1, wherein the input means is means for transmitting biometric information and emotional data of the user to a server.

[1412] (Claim 3)

[1413] 10. The system of claim 1, wherein the generating means includes a generating algorithm that identifies recommended ingredients based on the user's skin condition and constitution.

[1414] "Application example 2 when combining emotion engines"

[1415] (Claim 1)

[1416] an input means for inputting biometric information of a user;

[1417] emotion analysis means for analyzing emotion data from facial expressions and voices acquired by the input means;

[1418] a transmitting means for transmitting the biometric information and emotion data to a server;

[1419] a generating means including a generating algorithm for generating optimal beauty treatments and beauty products based on the biometric information and emotion data;

[1420] a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means;

[1421] A system including:

[1422] (Claim 2)

[1423] 2. The system according to claim 1, wherein the emotion analysis means is a means for identifying an emotional state of a user by analyzing facial expressions and voice.

[1424] (Claim 3)

[1425] 10. The system of claim 1, wherein the generating means includes a generating algorithm that identifies recommended ingredients based on a user's skin condition and emotional state. [Explanation of symbols]

[1426] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. an input means for inputting biometric information of a user; a generating means for generating beauty treatments and beauty products based on the biometric information; a display means for displaying the beauty treatment and beauty product recommendations generated by the generating means; A system including:

2. 2. The system according to claim 1, wherein said input means is means for transmitting biometric information of the user to a server.

3. The system of claim 1 , wherein the generating means includes a generating algorithm that identifies recommended vegetable ingredients based on the user's skin condition and constitution.

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